• "Transformers in Single Object Tracking: An Experimental Survey".IEEE Access(2023).[paper]
• SparseTT: Zhihong Fu, Zehua Fu, Qingjie Liu, Wenrui Cai, Yunhong Wang.
  "SparseTT: Visual Tracking with Sparse Transformers".IJCAI(2022).[paper][code]
• Jinyu Yang, Zhe Li, Song Yan, Feng Zheng, Aleš Leonardis, Joni-Kristian Kämäräinen, Ling Shao.
  "RGBD Object Tracking: An In-depth Review". ArXiv(2022).[paper][code]
• HCAT: Xin Chen, Dong Wang, Dongdong Li, Huchuan Lu.
  "Efficient Visual Tracking via Hierarchical Cross-Attention Transformer".ECCVW(2022).[paper][code]
• SiamRCR: Jinlong Peng, Zhengkai Jiang, Yueyang Gu, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Weiyao Lin.
  "SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking".IJCAI(2021).[paper]
• TrTr: Moju Zhao, Kei Okada, Masayuki Inaba.
  "TrTr: Visual Tracking with Transformer".ArXiv(2021).[paper][code]
• TREG: Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu.
  "Target Transformed Regression for Accurate Tracking".ArXiv(2021).[paper][code]
• AFSN: Shengyun Peng, Yunxuan Yu, Kun Wang, Lei He.
  "Accurate Anchor Free Tracking". ArXiv(2020). [paper]
• DCFNet: Qiang Wang, Jin Gao, Junliang Xing, Mengdan Zhang, Weiming Hu.
  "DCFNet: Discriminant Correlation Filters Network for Visual Tracking." arXiv (2017). [paper] [code]

• OneTracker: Lingyi Hong, Shilin Yan, Renrui Zhang, Wanyun Li, Xinyu Zhou, Pinxue Guo, Kaixun Jiang, Yiting Cheng, Jinglun Li, Zhaoyu Chen, Wenqiang Zhang.
  "OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning." CVPR (2024). [paper]

• ARTrackV2: Yifan Bai, Zeyang Zhao, Yihong Gong, Xing Wei.
  "ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe." CVPR (2024). [paper] [code]

• DiffusionTrack: Fei Xie, Zhongdao Wang, Chao Ma.
  "DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking." CVPR (2024). [paper] [code]

• AQAT: Jinxia Xie, Bineng Zhong, Zhiyi Mo, Shengping Zhang, Liangtao Shi, Shuxiang Song, Rongrong Ji.
  "Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers." CVPR (2024). [paper] [code]

• RTracker: Yuqing Huang, Xin Li, Zikun Zhou, Yaowei Wang, Zhenyu He, Ming-Hsuan Yang.
  "RTracker: Recoverable Tracking via PN Tree Structured Memory." CVPR (2024). [paper] [code]

• NetTrack: Guangze Zheng, Shijie Lin, Haobo Zuo, Changhong Fu, Jia Pan.
  "NetTrack: Tracking Highly Dynamic Objects with a Net." CVPR (2024). [paper] [code]

• Un-Track: Zongwei Wu, Jilai Zheng, Xiangxuan Ren, Florin-Alexandru Vasluianu, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte.
  "Single-Model and Any-Modality for Video Object Tracking." CVPR (2024). [paper] [code]

• HIPTrack: Wenrui Cai, Qingjie Liu, Yunhong Wang.
  "HIPTrack: Visual Tracking with Historical Prompts." CVPR (2024). [paper] [code]

• SDSTrack: Xiaojun Hou, Jiazheng Xing, Yijie Qian, Yaowei Guo, Shuo Xin, Junhao Chen, Kai Tang, Mengmeng Wang, Zhengkai Jiang, Liang Liu, Yong Liu.
  "SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking." CVPR (2024). [paper] [code]

• HDETrack: Xiao Wang, Shiao Wang, Chuanming Tang, Lin Zhu, Bo Jiang, Yonghong Tian, Jin Tang.
  "Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline." CVPR (2024). [paper] [code]

• CAI: Yanyan Shao, Shuting He, Qi Ye, Yuchao Feng, Wenhan Luo, Jiming Chen.
  "Context-Aware Integration of Language and Visual References for Natural Language Tracking." CVPR (2024). [paper] [code]

• ContrasTR: Pierre-François De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool.
  "Contrastive Learning for Multi-Object Tracking With Transformers." WACV (2024). [paper] [code]

• LaGOT: Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova.
  "Beyond SOT: It's Time to Track Multiple Generic Objects at Once." WACV (2024). [paper] [code]

• SMAT: Goutam Yelluru Gopal, Maria A. Amer.
  "Separable Self and Mixed Attention Transformers for Efficient Object Tracking." WACV (2024). [paper] [code]

• DATr: Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu.
  "Leveraging the Power of Data Augmentation for Transformer-based Tracking." WACV (2024). [paper] [code]

• GMMT: Zhangyong Tang, Tianyang Xu, Xuefeng Zhu, Xiao-Jun Wu, Josef Kittler.
  "Generative-based Fusion Mechanism for Multi-Modal Tracking." AAAI (2024). [paper] [code]

• ODTrack: Yaozong Zheng, Bineng Zhong, Qihua Liang, Zhiyi Mo, Shengping Zhang, Xianxian Li.
  "ODTrack: Online Dense Temporal Token Learning for Visual Tracking." AAAI (2024). [paper] [code]

• EVPTrack: Liangtao Shi, Bineng Zhong, Qihua Liang, Ning Li, Shengping Zhang, Xianxian Li.
  "Explicit Visual Prompts for Visual Object Tracking." AAAI (2024). [paper] [code]

• BAT: Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu.
  "Bi-directional Adapter for Multimodal Tracking." AAAI (2024). [paper] [code]

• TATrack: Hongyu Wang, Xiaotao Liu, Yifan Li, Meng Sun, Dian Yuan, Jing Liu.
  "Temporal Adaptive RGBT Tracking with Modality Prompt." AAAI (2024). [paper] [code]

• PlanarTrack: Xinran Liu, Xiaoqiong Liu, Ziruo Yi, Xin Zhou, Thanh Le, Libo Zhang, Yan Huang, Qing Yang, Heng Fan.
  "PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking".ICCV2023.[paper][code]
• 360VOT: Huajian Huang, Yinzhe Xu, Yingshu Chen, Sai-Kit Yeung.
  "360VOT: A New Benchmark Dataset for Omnidirectional Visual Object Tracking".ICCV2023.[paper][code]
• CiteTracker: Xin Li, Yuqing Huang, Zhenyu He, Yaowei Wang, Huchuan Lu, Ming-Hsuan Yang.
  "CiteTracker: Correlating Image and Text for Visual Tracking".ICCV2023.[paper][code]
• DecoupleTNL: Ding Ma, Xiangqian Wu.
  "Tracking by Natural Language Specification with Long Short-term Context Decoupling".ICCV2023.[paper]
• HiT: Ben Kang, Xin Chen, Dong Wang, Houwen Peng, Huchuan Lu.
  "Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking".ICCV2023.[paper][code]
• Aba-ViTrack: Shuiwang Li, Yangxiang Yang, Dan Zeng, Xucheng Wang.
  "Adaptive and Background-Aware Vision Transformer for Real-Time UAV Tracking".ICCV2023.[paper][code]
• ROMTrack: Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu.
  "Robust Object Modeling for Visual Tracking".ICCV2023.[paper]
• F-BDMTrack: Dawei Yang, Jianfeng He, Yinchao Ma, Qianjin Yu, Tianzhu Zhang.
  "Foreground-Background Distribution Modeling Transformer for Visual Object Tracking".ICCV2023.[paper]
• PVT++: Bowen Li, Ziyuan Huang, Junjie Ye, Yiming Li, Sebastian Scherer, Hang Zhao, Changhong Fug.
  "PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework".ICCV2023.[paper][code]
• OmniMotion: Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely.
  "Tracking Everything Everywhere All at Once".ICCV2023.[paper][code]

• CMD: Tianlu Zhang, Hongyuan Guo, Qiang Jiao, Qiang Zhang, Jungong Han.
  "Efficient RGB-T Tracking via Cross-Modality Distillation".CVPR2023.[paper]
• TCOW: Basile Van Hoorick, Pavel Tokmakov, Simon Stent, Jie Li, Carl Vondrick.
  "Tracking through Containers and Occluders in the Wild".CVPR2023.[paper]
• Junbong Jang, Kwonmoo Lee, Tae-Kyun Kim.
  "Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses".CVPR2023.[paper][code]
• ARKitTrack: Haojie Zhao, Junsong Chen, Lijun Wang, Huchuan Lu.
  "ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data".CVPR2023.[paper][code]
• GRM: Shenyuan Gao, Chunluan Zhou, Jun Zhang.
  "Generalized Relation Modeling for Transformer Tracking".CVPR2023.[paper][code]
• VisTracker: Xianghui Xie, Bharat Lal Bhatnagar, Gerard Pons-Moll.
  "Visibility Aware Human-Object Interaction Tracking From Single RGB Camera".CVPR2023.[paper][code]
• JointNLT: Li Zhou, Zikun Zhou, Kaige Mao, Zhenyu He.
  "Joint Visual Grounding and Tracking with Natural Language Specification".CVPR2023.[paper][code]
• ViPT: Jiawen Zhu, Simiao Lai, Xin Chen, Dong Wang, Huchuan Lu.
  "Visual Prompt Multi-Modal Tracking".CVPR2023.[paper][code]
• ARTrack: Xing Wei, Yifan Bai, Yongchao Zheng, Dahu Shi, Yihong Gong.
  "Autoregressive Visual Tracking".CVPR2023.[paper][code]
• EMT: Jinyu Yang, Shang Gao, Zhe Li, Feng Zheng, Aleš Leonardis.
  "Resource-Efficient RGBD Aerial Tracking".CVPR2023.[paper][code]
• MAT: Haojie Zhao, Dong Wang, Huchuan Lu.
  "Representation Learning for Visual Object Tracking by Masked Appearance Transfer".CVPR2023.[paper][code]
• VideoX: Xin Chen, Houwen Peng, Dong Wang, Huchuan Lu, Han Hu.
  "SeqTrack: Sequence to Sequence Learning for Visual Object Tracking".CVPR2023.[paper][code]
• AFNet: Jiqing Zhang, Yuanchen Wang, Wenxi Liu, Meng Li, Jinpeng Bai, Baocai Yin, Xin Yang.
  "Frame-Event Alignment and Fusion Network for High Frame Rate Tracking".CVPR2023.[paper]
• DropMAE: Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan.
  "DropMAE: Masked Autoencoders With Spatial-Attention Dropout for Tracking Tasks".CVPR2023.[paper][code]
• TBSI: Tianrui Hui, Zizheng Xun, Fengguang Peng, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Jiao Dai, Jizhong Han, Si Liu.
  "Bridging Search Region Interaction with Template for RGB-T Tracking".CVPR2023.[paper][code]

• CIA: Zhixiong Pi, Weitao Wan, Chong Sun, Changxin Gao, Nong Sang and Chen Li .
  "Hierarchical Feature Embedding for Visual Tracking".ECCV(2022).[paper][code]
• Unicorn: Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu.
  "Towards Grand Unification of Object Tracking".ECCV(2022).[paper][code]
• AiATrack: Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, Junsong Yuan.
  "AiATrack: Attention in Attention for Transformer Visual Tracking".ECCV(2022).[paper][code]
• OSTrack: Botao Ye, Hong Chang, Bingpeng Ma, Shiguang Shan.
  "Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework".ECCV(2022).[paper][code]
• SimTrack: Boyu Chen, Peixia Li, Lei Bai, Lei Qiao, Qiuhong Shen, Bo Li, Weihao Gan, Wei Wu, Wanli Ouyang.
  "Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking".ECCV(2022).[paper][code]
• SLTtrack: Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho.
  "Towards Sequence-Level Training for Visual Tracking".ECCV(2022).[paper][code]
• RTS: Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool.
  "Robust Visual Tracking by Segmentation".ECCV(2022).[paper][code]
• FEARTracker: Vasyl Borsuk, Roman Vei, Orest Kupyn, Tetiana Martyniuk, Igor Krashenyi, Jiři Matas.
  "FEAR: Fast, Efficient, Accurate and Robust Visual Tracker".ECCV(2022).[paper][code]
• HVC-Net: Haoxian Zhang, Yonggen Ling.
  "HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking".ECCV(2022).[paper][code]

• RBO: Feng Tang, Qiang Ling.
  "Ranking-Based Siamese Visual Tracking".CVPR(2022).[paper][code]
• ToMP: Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool.
  "Transforming Model Prediction for Tracking".CVPR(2022).[paper][code]
• MixFormer: Yutao Cui, Jiang Cheng, Limin Wang, Gangshan Wu.
  "MixFormer: End-to-End Tracking with Iterative Mixed Attention".CVPR(2022).[paper][code]
• UDAT: Ye, Junjie and Fu, Changhong and Zheng, Guangze and Paudel, Danda Pani and Chen, Guang.
  "Unsupervised Domain Adaptation for Nighttime Aerial Tracking".CVPR(2022).[paper][code]
• TCTrack: Ziang Cao and Ziyuan Huang and Liang Pan and Shiwei Zhang and Ziwei Liu and Changhong Fu.
  "TCTrack: Temporal Contexts for Aerial Tracking".CVPR(2022).[paper][code]
• CADT: Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng.
  "Correlation-Aware Deep Tracking".CVPR(2022).[paper][code]
• Qiuhong Shen, Lei Qiao, Jinyang Guo, Peixia Li, Xin Li, Bo Li, Weitao Feng, Weihao Gan, Wei Wu, Wanli Ouyang.
  "Unsupervised Learning of Accurate Siamese Tracking".CVPR(2022).[paper][code]
• Zikun Zhou, Jianqiu Chen, Zhenyu He, Kaige Mao, Hongpeng Wang, Wenjie Pei.
  "Global Tracking via Ensemble of Local Trackers".CVPR(2022).[paper][code]
• CSWinTT Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang.
  "Transformer Tracking with Cyclic Shifting Window Attention".CVPR(2022).[paper][code]
• Chaoda Zheng, Xu Yan, Haiming Zhang, Baoyuan Wang, Shenghui Cheng, Shuguang Cui, Zhen Li.
  "Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds".CVPR(2022).[paper][code]
• UTT: Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan.
  "Unified Transformer Tracker for Object Tracking".CVPR(2022).[paper][code]
• VTUAV: Pengyu Zhang, Jie Zhao, Dong Wang, Huchuan Lu, Xiang Ruan.
  "Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline".CVPR(2022).[paper][code]

• DepthTrack: Song Yan, Jinyu Yang, Jani Käpylä, Feng Zheng, Aleš Leonardis, Joni-Kristian Kämäräinen.
  "DepthTrack: Unveiling the Power of RGBD Tracking".ICCV(2021).[paper][code]
• STARK: Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu.
  "Learning Spatio-Temporal Transformer for Visual Tracking".ICCV(2021).[paper][code]
• AutoMatch: Zhipeng Zhang, Yihao Liu, Xiao Wang, Bing Li, Weiming Hu.
  "Learn to Match: Automatic Matching Network Design for Visual Tracking".ICCV(2021).[paper][code]
• HiFT: Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li.
  "HiFT: Hierarchical Feature Transformer for Aerial Tracking".ICCV(2021).[paper][code]
• Keep Track: Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool.
  "Learning Target Candidate Association To Keep Track of What Not To Track".ICCV(2021).[paper][code]
• ABA: Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao.
  "Learning To Adversarially Blur Visual Object Tracking".ICCV(2021).[paper][code]
• USOT: Jilai Zheng, Chao Ma, Houwen Peng, Xiaokang Yang.
  "Learning To Track Objects From Unlabeled Videos".ICCV(2021).[paper][code]
• SAOT: Zikun Zhou, Wenjie Pei, Xin Li, Hongpeng Wang, Feng Zheng, Zhenyu He.
  "Saliency-Associated Object Tracking".ICCV(2021).[paper][code]
• TOTB: Heng Fan, Halady Akhilesha Miththanthaya, Harshit, Siranjiv Ramana Rajan, Xiaoqiong Liu, Zhilin Zou, Yuewei Lin, Haibin Ling.
  "Transparent Object Tracking Benchmark".ICCV(2021).[paper][code]
• Jiqing Zhang, Xin Yang, Yingkai Fu, Xiaopeng Wei, Baocai Yin, Bo Dong.
  "Object Tracking by Jointly Exploiting Frame and Event Domain".ICCV(2021).[paper]
• Kenan Dai, Jie Zhao, Lijun Wang, Dong Wang, Jianhua Li, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang.
  "Video Annotation for Visual Tracking via Selection and Refinement".ICCV(2021).[paper]
• DTT: Bin Yu, Ming Tang, Linyu Zheng, Guibo Zhu, Jinqiao Wang, Hao Feng, Xuetao Feng, Hanqing Lu.
  "High-Performance Discriminative Tracking With Transformers".ICCV(2021).[paper]

• SiamGAT: Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen.
  "Graph Attention Tracking".CVPR(2021).[paper][code]
• TransformerTrack: Ning Wang, Wengang Zhou, Jie Wang, Houqaing Li.
  "Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking".CVPR(2021).[paper][code]
• IoU Attack: Shuai Jia, Yibing Song, Chao Ma, Xiaokang Yang.
  "IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking".CVPR(2021).[paper][code]
• TransT: Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun Yang, Huchuan Lu.
  "Transformer Tracking".CVPR(2021).[paper][code]
• TNL2K: Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu.
  "Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark".CVPR(2021).[paper][code]
• STMTrack: Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang.
  "STMTrack: Template-free Visual Tracking with Space-time Memory Networks".CVPR(2021).[paper][code]
• Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz.
  "Learning to Track Instances without Video Annotations".CVPR(2021).[paper][code]
• LightTrack: Bin Yan, Houwen Peng, Kan Wu, Dong Wang, Jianlong Fu, Huchuan Lu.
  "LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search".CVPR(2021).[paper][code]
• ARDiMP: Bin Yan, Xinyu Zhang, Dong Wang, Huchuan Lu, Xiaoyun Yang.
  "Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation".CVPR(2021).[paper][code]
• CtP: Guangting Wang, Yizhou Zhou, Chong Luo, Wenxuan Xie, Wenjun Zeng, Zhiwei Xiong.
  "Unsupervised Visual Representation Learning by Tracking Patches in Video".CVPR(2021).[paper][code]
• SiamRN: Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang.
  "Learning to Filter: Siamese Relation Network for Robust Tracking".CVPR(2021).[paper][code]
• DMTrack: Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang.
  "Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy".CVPR(2021).[paper][code]
• CapsuleRRT: Ding Ma, Xiangqian Wu.
  "CapsuleRRT: Relationships-aware Regression Tracking via Capsules".CVPR(2021).[paper]
• RE-SiamNets: Deepak K. Gupta, Devanshu Arya, Efstratios Gavves.
  "Rotation Equivariant Siamese Networks for Tracking".CVPR(2021).[paper] [code]
• PUL: Qiangqiang Wu, Jia Wan, Antoni B. Chan.
  "Progressive Unsupervised Learning for Visual Object Tracking".CVPR(2021).[paper]
• SNLT: Qi Feng, Qinxun Bai, Stan Sclarof.
  "Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers".CVPR(2021).[paper] [code]
• SiamBAN-ACM: Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen.
  "Learning to Fuse Asymmetric Feature Maps in Siamese Trackers".CVPR(2021).[paper] [code]
• MeanShift++: Jennifer Jang, Heinrich Jiang.
  "MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking".CVPR(2021).[paper]
• Adam W. Harley, Yiming Zuo, Jing Wen, Ayush Mangal.
  "Track, Check, Repeat: An EM Approach to Unsupervised Tracking".CVPR(2021).[paper]

• "Siamese Attentive Graph Tracking". ACM MM(2020). [paper]
• "Online Filtering Training Samples for Robust Visual Tracking". ACM MM(2020). [paper]
• "Accurate UAV Tracking with Distance-Injected Overlap Maximization". ACM MM(2020). [paper]
• "S2SiamFC: Self-supervised Fully Convolutional Siamese Network for Visual Tracking". ACM MM(2020). [paper]

• Ocean: Zhipeng Zhang, Houwen Peng, Jianlong Fu, Bing Li, Weiming Hu.
  "Ocean: Object-aware Anchor-free Tracking". ECCV(2020). [paper], [code]
• KYS: Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte.
  "Know Your Surroundings: Exploiting Scene Information for Object Tracking". ECCV(2020). [paper] [code]
• SPARK: Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu.
  "SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking". ECCV(2020). [paper]
• RTAA Shuai Jia, Chao Ma, Yibing Song, Xiaokang Yang.
  "Robust Tracking against Adversarial Attacks". ECCV(2020). [paper] [code]
• CLNet: Xingping Dong, Jianbing Shen, Ling Shao, Fatih Porikli.
  "CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers". ECCV(2020). [paper] [code]
• PG-Net: Bingyan Liao, Chenye Wang, Yayun Wang, Yaonong Wang, and Jun Yin.
  "PG-Net: Pixel to Global Matching Network for Visual Tracking". ECCV(2020). [paper]
• Yuan Liu, Ruoteng Li, Yu Cheng, Robby T. Tan, Xiubao Sui.
  "Object Tracking using Spatio-Temporal Networks for Future Prediction Location". ECCV(2020). [paper]
• DCFST: Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, and Hanqing Lu.
  "Learning Feature Embeddings for Discriminant Model based Tracking". [paper]
• CAT: Chenglong Li, Lei Liu, Andong Lu, Qing Ji, and Jin Tang.
  "Challenge-Aware RGBT Tracking". [paper]
• FAN: Siyuan Liang, Xingxing Wei, Siyuan Yao, and Xiaochun Cao.
  "Efficient Adversarial Attacks for Visual Object Tracking". [paper]

• Xuesong Chen, Xiyu Yan, Feng Zheng, Yong Jiang, Shu-Tao Xia, Yong Zhao, Rongrong Ji.
  One-shot Adversarial Attacks on Visual Tracking with Dual Attention [paper][[code]]
• RLS-RTMDNet: Jin Gao, Weiming Hu, Yan Lu.
  Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking [paper][code]
• SiamCAR: Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, Shengyong Chen.
  SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking [paper][code]
• D3S: Alan Lukežič, Jiří Matas, Matej Kristan.
  D3S: – A Discriminative Single Shot Segmentation Tracker [paper][code]
• ROAM: Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan.
  Recurrently Optimizing Tracking Model [paper] [code]
• FTMU: Mingjie Sun, Jimin Xiao, Eng Gee Lim, Bingfeng Zhang, Yao Zhao
  Fast Template Matching and Update for Video Object Tracking and Segmentation [paper] [code]
• CSA: Bin Yan, Dong Wang, Huchuan Lu, Xiaoyun Yang
  Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises [paper] [code]
• SiamAttn: Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott.
  Deformable Siamese Attention Networks for Visual Object Tracking [paper] [code]
• LTMU: Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang.
  High-Performance Long-Term Tracking with Meta-Updater [paper] [code]
• Yang Li, Aljaž Božič, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Nießner.
  Learning to Optimize Non-Rigid Tracking [paper] [code]
• Siam R-CNN: Paul Voigtlaender, Jonathon Luiten, Philip H.S. Torr, Bastian Leibe.
  Siam R-CNN: Visual Tracking by Re-Detection [homepage] [paper] [code]
• PrDiMP: Martin Danelljan, Luc Van Gool, Radu Timofte.
  Probabilistic Regression for Visual Tracking [paper] [code]
• MAST: Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wenjun Zeng.
  A Memory-Augmented Self-supervised Tracker [paper] [code]
• SiamBAN: Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji.
  Siamese Box Adaptive Network for Visual Tracking [paper] [code]
• SAT: Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, Donglian Qi
  State-Aware Tracker for Real-Time Video Object Segmentation [paper] [code]
• MAML: Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wenjun Zeng.
  Tracking by Instance Detection A Meta-Learning Approach [paper] [code]
• AutoTrack: Yiming Li, Changhong Fu, Fangqiang Ding, Ziyuan Huang, Geng Lu.
  AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization [paper] [code]
• CGACD: Fei Du, Peng Liu, Wei Zhao, Xianglong Tang.
  Correlation-Guided Attention for Corner Detection Based Visual Tracking. [paper] [[code]]

• SPSTracker: Qintao Hu, Lijun Zhou, Xiaoxiao Wang, Yao Mao, Jianlin Zhang, Qixiang Ye.
  "Sub-Peak Suppression of Response Map for Robust Object Tracking" [paper] [code]
• MMNet: Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Wei Liu, Yonsheng Liang.
  "Multi-Task Driven Feature Models for Thermal Infrared Tracking" [paper] [code]
• SiamFC++: Yinda Xu, Zeyu Wang, Zuoxin Li, Ye Yuan, Gang Yu.
  "SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines." AAAI (2020). [paper] [code]
• GlobalTrack: Lianghua Huang, Xin Zhao, Kaiqi Huang.
  "GlobalTrack: A Simple and Strong Baseline for Long-term Tracking". AAAI (2020). [paper] [code]
• Mikko Vihlman, Arto Visala.
  "Optical Flow in Deep Visual Tracking". AAAI (2020). [paper]

• DiMP: Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte.
  "Learning Discriminative Model Prediction for Tracking." ICCV (2019 oral). [paper] [code]
• GradNet: Peixia Li, Boyu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu.
  "GradNet: Gradient-Guided Network for Visual Object Tracking." ICCV (2019 oral). [paper] [code]
• MLT: Janghoon Choi, Junseok Kwon, Kyoung Mu Lee.
  "Deep Meta Learning for Real-Time Target-Aware Visual Tracking." ICCV (2019). [paper]
• SPLT: Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang
  "'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-Term Tracking." ICCV (2019). [paper] [code]
• ARCF: Ziyuan Huang, Changhong Fu, Yiming Li, Fuling Lin, Peng Lu.
  "Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking." ICCV (2019). [paper] [code]
• Lianghua Huang, Xin Zhao, Kaiqi Huang.
  "Bridging the Gap Between Detection and Tracking: A Unified Approach." ICCV (2019). [paper]
• UpdateNet: Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan.
  "Learning the Model Update for Siamese Trackers." ICCV (2019). [paper] [code]
• PAT: Rey Reza Wiyatno, Anqi Xu.
  "Physical Adversarial Textures That Fool Visual Object Tracking." ICCV (2019). [paper]
• GFS-DCF: Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler.
  "Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking." ICCV (2019). [paper] [code]
• CDTB: Alan Lukežič, Ugur Kart, Jani Käpylä, Ahmed Durmush, Joni-Kristian Kämäräinen, Jiří Matas, Matej Kristan.
  "CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark." ICCV (2019). [paper]
• VOT2019: Kristan, Matej, et al.
  "The Seventh Visual Object Tracking VOT2019 Challenge Results." ICCV workshops (2019). [paper]

• SiamMask: Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr.
  "Fast Online Object Tracking and Segmentation: A Unifying Approach." CVPR (2019). [paper] [project] [code]

• SiamRPN++: Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan.
  "SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks." CVPR (2019 oral). [paper] [project]

• ATOM: Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg.
  "ATOM: Accurate Tracking by Overlap Maximization." CVPR (2019 oral). [paper] [code]

• SiamDW: Zhipeng Zhang, Houwen Peng.
  "Deeper and Wider Siamese Networks for Real-Time Visual Tracking." CVPR (2019 oral). [paper] [code]

• GCT: Junyu Gao, Tianzhu Zhang, Changsheng Xu.
  "Graph Convolutional Tracking." CVPR (2019 oral). [paper]

• ASRCF: Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li.
  "Visual Tracking via Adaptive Spatially-Regularized Correlation Filters." CVPR (2019 oral). [paper] [code]

• UDT: Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li.
  "Unsupervised Deep Tracking." CVPR (2019). [paper] [code]

• TADT: Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang.
  "Target-Aware Deep Tracking." CVPR (2019). [paper] [project] [code]

• C-RPN: Heng Fan, Haibin Ling.
  "Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking." CVPR (2019). [paper]

• SPM: Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng.
  "SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking." CVPR (2019). [paper]

• OTR: Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas.
  "Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters." CVPR (2019). [paper] [code]

• RPCF: Yuxuan Sun, Chong Sun, Dong Wang, Huchuan Lu, You He.
  "ROI Pooled Correlation Filters for Visual Tracking." CVPR (2019). [paper]

• LaSOT: Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling.
  "LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking." CVPR (2019). [paper] [project]

• LDES: Yang Li, Jianke Zhu, Steven C.H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu.
  "Robust Estimation of Similarity Transformation for Visual Object Tracking." AAAI (2019). [paper] [code]

• DAT: Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang.
  "Deep Attentive Tracking via Reciprocative Learning." NIPS (2018). [paper] [project] [code]

• UPDT: Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg.
  "Unveiling the Power of Deep Tracking." ECCV (2018). [paper]

• DaSiamRPN: Zheng Zhu, Qiang Wang, Bo Li, Wu Wei, Junjie Yan, Weiming Hu.
  "Distractor-aware Siamese Networks for Visual Object Tracking." ECCV (2018). [paper] [github]

• SACF: Mengdan Zhang, Qiang Wang, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu, Steve Maybank.
  "Visual Tracking via Spatially Aligned Correlation Filters Network." ECCV (2018). [paper]

• RTINet: Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan, Wangmeng Zuo.
  "Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking." ECCV (2018). [paper]

• Meta-Tracker: Eunbyung Park, Alexander C. Berg.
  "Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers." [paper] [github]

• DSLT: Xiankai Lu, Chao Ma*, Bingbing Ni, Xiaokang Yang, Ian Reid, Ming-Hsuan Yang.
  "Deep Regression Tracking with Shrinkage Loss." ECCV (2018). [paper] [github]

• DRL-IS: Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou.
  "Deep Reinforcement Learning with Iterative Shift for Visual Tracking." ECCV (2018). [paper]

• RT-MDNet: Ilchae Jung, Jeany Son, Mooyeol Baek, Bohyung Han.
  "Real-Time MDNet." ECCV (2018). [paper]

• ACT: Boyu Chen, Dong Wang, Peixia Li, Huchuan Lu.
  "Real-time 'Actor-Critic' Tracking." ECCV (2018). [paper] [github]

• StructSiam: Yunhua Zhang, Lijun Wang, Dong Wang, Mengyang Feng, Huchuan Lu, Jinqing Qi.
  "Structured Siamese Network for Real-Time Visual Tracking." ECCV (2018). [paper]

• MemTrack: Tianyu Yang, Antoni B. Chan.
  "Learning Dynamic Memory Networks for Object Tracking." ECCV (2018). [paper]

• SiamFC-tri: Xingping Dong, Jianbing Shen.
  "Triplet Loss in Siamese Network for Object Tracking." ECCV (2018). [paper] [github]

• OxUvA long-term dataset+benchmark: Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold Smeulders, Philip Torr, Efstratios Gavves.
  "Long-term Tracking in the Wild: a Benchmark." ECCV (2018). [paper] [project]

• TrackingNet: Matthias Müller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem.
  "TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild." ECCV (2018). [paper] [project]

• VITAL: Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson Lau, and Ming-Hsuan Yang. "VITAL: VIsual Tracking via Adversarial Learning." CVPR (2018 Spotlight). [project] [paper] [github]

• LSART: Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang. "Learning Spatial-Aware Regressions for Visual Tracking." CVPR (2018 Spotlight). [paper]

• SiamRPN: Bo Li, Wei Wu, Zheng Zhu, Junjie Yan. "High Performance Visual Tracking with Siamese Region Proposal Network." CVPR (2018 Spotlight). [paper]

• TRACA: Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi. "Context-aware Deep Feature Compression for High-speed Visual Tracking." CVPR (2018). [project] [paper]

• RASNet: Qiang Wang, Zhu Teng, Junliang Xing, Jin Gao, Weiming Hu, Stephen Maybank. "Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking." CVPR 2018. [paper]

• SA-Siam: Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng. "A Twofold Siamese Network for Real-Time Object Tracking." CVPR (2018). [paper]

• STRCF: Feng Li, Cheng Tian, Wangmeng Zuo, Lei Zhang, Ming-Hsuan Yang. "Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking." CVPR (2018). [paper] [github]

• FlowTrack: Zheng Zhu, Wei Wu, Wei Zou, Junjie Yan. "End-to-end Flow Correlation Tracking with Spatial-temporal Attention." CVPR (2018). [paper]

• DEDT: Kourosh Meshgi, Shigeyuki Oba, Shin Ishii. "Efficient Diverse Ensemble for Discriminative Co-Tracking." CVPR (2018). [paper]

• SINT++: Xiao Wang, Chenglong Li, Bin Luo, Jin Tang. "SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation." CVPR (2018). [paper]

• DRT: Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang. "Correlation Tracking via Joint Discrimination and Reliability Learning." CVPR (2018). [paper]

• MCCT: Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li. "Multi-Cue Correlation Filters for Robust Visual Tracking." CVPR (2018). [paper] [github]

• MKCF: Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang. "High-speed Tracking with Multi-kernel Correlation Filters." CVPR (2018). [paper]

• HP: Xingping Dong, Jianbing Shen, Wenguan Wang, Yu, Liu, Ling Shao, and Fatih Porikli. "Hyperparameter Optimization for Tracking with Continuous Deep Q-Learning." CVPR (2018). [paper]

• HART: Adam R. Kosiorek, Alex Bewley, Ingmar Posner. "Hierarchical Attentive Recurrent Tracking." NIPS (2017). [paper] [github]

• CREST: Yibing Song, Chao Ma, Lijun Gong, Jiawei Zhang, Rynson Lau, Ming-Hsuan Yang. "CREST: Convolutional Residual Learning for Visual Tracking." ICCV (2017 Spotlight). [paper] [project] [github]

• EAST: Chen Huang, Simon Lucey, Deva Ramanan. "Learning Policies for Adaptive Tracking with Deep Feature Cascades." ICCV (2017 Spotlight). [paper] [supp]

• PTAV: Heng Fan and Haibin Ling. "Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking." ICCV (2017). [paper] [supp] [project] [code]

• BACF: Hamed Kiani Galoogahi, Ashton Fagg, Simon Lucey. "Learning Background-Aware Correlation Filters for Visual Tracking." ICCV (2017). [paper] [supp] [code] [project]

• TSN: Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng and Yi Jin. "Robust Object Tracking based on Temporal and Spatial Deep Networks." ICCV (2017). [paper]

• p-tracker: James Supančič, III; Deva Ramanan. "Tracking as Online Decision-Making: Learning a Policy From Streaming Videos With Reinforcement Learning." ICCV (2017). [paper] [supp]

• DSiam: Qing Guo; Wei Feng; Ce Zhou; Rui Huang; Liang Wan; Song Wang. "Learning Dynamic Siamese Network for Visual Object Tracking." ICCV (2017). [paper] [github]

• SP-KCF: Xin Sun; Ngai-Man Cheung; Hongxun Yao; Yiluan Guo. "Non-Rigid Object Tracking via Deformable Patches Using Shape-Preserved KCF and Level Sets." ICCV (2017). [paper]

• UCT: Zheng Zhu, Guan Huang, Wei Zou, Dalong Du, Chang Huang. "UCT: Learning Unified Convolutional Networks for Real-Time Visual Tracking." ICCV workshop (2017). [paper]

• Tobias Bottger, Patrick Follmann. "The Benefits of Evaluating Tracker Performance Using Pixel-Wise Segmentations." ICCV workshop (2017). [paper]

• CFWCR: Zhiqun He, Yingruo Fan, Junfei Zhuang, Yuan Dong, HongLiang Bai. "Correlation Filters With Weighted Convolution Responses." ICCV workshop (2017). [paper] [github]

• IBCCF: Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo, Ming-Hsuan Yang. "Integrating Boundary and Center Correlation Filters for Visual Tracking With Aspect Ratio Variation." ICCV workshop (2017). [paper] [github]

• RFL: Tianyu Yang, Antoni B. Chan. "Recurrent Filter Learning for Visual Tracking." ICCV workshop (2017). [paper]

• ECO: Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. "ECO: Efficient Convolution Operators for Tracking." CVPR (2017). [paper] [supp] [project] [github]

• CFNet: Jack Valmadre, Luca Bertinetto, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr. "End-to-end representation learning for Correlation Filter based tracking." CVPR (2017). [paper] [supp] [project] [github]

• CACF: Matthias Mueller, Neil Smith, Bernard Ghanem. "Context-Aware Correlation Filter Tracking." CVPR (2017 oral). [paper] [supp] [project] [code]

• RaF: Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja and Pierre Moulin "Robust Visual Tracking Using Oblique Random Forests." CVPR (2017). [paper] [supp] [project] [code]

• MCPF: Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. "Multi-Task Correlation Particle Filter for Robust Object Tracking." CVPR (2017). [paper] [project] [code]

• ACFN: Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, and Jin Young Choi. "Attentional Correlation Filter Network for Adaptive Visual Tracking." CVPR (2017). [paper] [supp] [project] [test code] [training code]

• LMCF: Mengmeng Wang, Yong Liu, Zeyi Huang. "Large Margin Object Tracking with Circulant Feature Maps." CVPR (2017). [paper] [zhihu]

• ADNet: Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi. "Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning." CVPR (2017 Spotlight). [paper] [supp] [project]

• CSR-DCF: Alan Lukežič, Tomáš Vojíř, Luka Čehovin, Jiří Matas, Matej Kristan. "Discriminative Correlation Filter with Channel and Spatial Reliability." CVPR (2017). [paper] [supp] [code]

• BranchOut: Bohyung Han, Jack Sim, Hartwig Adam. "BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks." CVPR (2017). [paper]

• AMCT: Donghun Yeo, Jeany Son, Bohyung Han, Joonhee Han. "Superpixel-based Tracking-by-Segmentation using Markov Chains." CVPR (2017). [paper]

• SANet: Heng Fan, Haibin Ling. "SANet: Structure-Aware Network for Visual Tracking." CVPRW (2017). [paper] [project]

• SiameseFC: Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H.S. Torr. "Fully-Convolutional Siamese Networks for Object Tracking." ECCV workshop (2016). [paper] [project] [github]

• GOTURN: David Held, Sebastian Thrun, Silvio Savarese. "Learning to Track at 100 FPS with Deep Regression Networks." ECCV (2016). [paper] [project] [github]

• C-COT: Martin Danelljan, Andreas Robinson, Fahad Khan, Michael Felsberg. "Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking." ECCV (2016). [paper] [project] [github]

• CF+AT: Adel Bibi, Matthias Mueller, and Bernard Ghanem. "Target Response Adaptation for Correlation Filter Tracking." ECCV (2016). [paper] [project] [github]

• Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang. "Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning." ECCV (2016). [paper]

• Yao Sui, Guanghui Wang, Yafei Tang, Li Zhang. "Tracking Completion." ECCV (2016). [paper]

• MDNet: Nam, Hyeonseob, and Bohyung Han. "Learning Multi-Domain Convolutional Neural Networks for Visual Tracking." CVPR (2016). [paper] [VOT_presentation] [project] [github]

• SINT: Ran Tao, Efstratios Gavves, Arnold W.M. Smeulders. "Siamese Instance Search for Tracking." CVPR (2016). [paper] [project]

• SCT: Jongwon Choi, Hyung Jin Chang, Jiyeoup Jeong, Yiannis Demiris, and Jin Young Choi. "Visual Tracking Using Attention-Modulated Disintegration and Integration." CVPR (2016). [paper] [project]

• STCT: Lijun Wang, Wanli Ouyang, Xiaogang Wang, and Huchuan Lu. "STCT: Sequentially Training Convolutional Networks for Visual Tracking." CVPR (2016). [paper] [github]

• SRDCFdecon: Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. "Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking." CVPR (2016). [paper] [project]

• HDT: Yuankai Qi, Shengping Zhang, Lei Qin, Hongxun Yao, Qingming Huang, Jongwoo Lim, Ming-Hsuan Yang. "Hedged Deep Tracking." CVPR (2016). [paper] [project]

• Staple: Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H.S. Torr. "Staple: Complementary Learners for Real-Time Tracking." CVPR (2016). [paper] [project] [github]

• EBT: Gao Zhu, Fatih Porikli, and Hongdong Li. "Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals." CVPR (2016). [paper] [exe]

• DLSSVM: Jifeng Ning, Jimei Yang, Shaojie Jiang, Lei Zhang and Ming-Hsuan Yang. "Object Tracking via Dual Linear Structured SVM and Explicit Feature Map." CVPR (2016). [paper] [code] [project]

• Learnet: Luca Bertinetto, João F. Henriques, Jack Valmadre, Philip H. S. Torr, Andrea Vedaldi. "Learning feed-forward one-shot learners." NIPS (2016). [paper]

• FCNT: Lijun Wang, Wanli Ouyang, Xiaogang Wang, and Huchuan Lu. "Visual Tracking with Fully Convolutional Networks." ICCV (2015). [paper] [project] [github]

• SRDCF: Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. "Learning Spatially Regularized Correlation Filters for Visual Tracking." ICCV (2015). [paper] [project]

• CF2: Chao Ma, Jia-Bin Huang, Xiaokang Yang and Ming-Hsuan Yang. "Hierarchical Convolutional Features for Visual Tracking." ICCV (2015) [paper] [project] [github]

• Naiyan Wang, Jianping Shi, Dit-Yan Yeung and Jiaya Jia. "Understanding and Diagnosing Visual Tracking Systems." ICCV (2015). [paper] [project] [code]\

• DeepSRDCF: Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. "Convolutional Features for Correlation Filter Based Visual Tracking." ICCV workshop (2015). [paper] [project]

• RAJSSC: Mengdan Zhang, Junliang Xing, Jin Gao, Xinchu Shi, Qiang Wang, Weiming Hu. "Joint Scale-Spatial Correlation Tracking with Adaptive Rotation Estimation." ICCV workshop (2015). [paper] [poster]

• MUSTer: Zhibin Hong, Zhe Chen, Chaohui Wang, Xue Mei, Danil Prokhorov, Dacheng Tao. "MUlti-Store Tracker (MUSTer): A Cognitive Psychology Inspired Approach to Object Tracking." CVPR (2015). [paper] [project]

• LCT: Chao Ma, Xiaokang Yang, Chongyang Zhang, Ming-Hsuan Yang. "Long-term Correlation Tracking." CVPR (2015). [paper] [project] [github]

• DAT: Horst Possegger, Thomas Mauthner, and Horst Bischof. "In Defense of Color-based Model-free Tracking." CVPR (2015). [paper] [project] [code]

• RPT: Yang Li, Jianke Zhu and Steven C.H. Hoi. "Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches." CVPR (2015). [paper] [github]

• CNN-SVM: Seunghoon Hong, Tackgeun You, Suha Kwak and Bohyung Han. "Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network ." ICML (2015) [paper] [project]

• DSST: Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan and Michael Felsberg. "Accurate Scale Estimation for Robust Visual Tracking." BMVC (2014). [paper] [PAMI] [project]

• MEEM: Jianming Zhang, Shugao Ma, and Stan Sclaroff. "MEEM: Robust Tracking via Multiple Experts using Entropy Minimization." ECCV (2014). [paper] [project]

• TGPR: Jin Gao, Haibin Ling, Weiming Hu, Junliang Xing. "Transfer Learning Based Visual Tracking with Gaussian Process Regression." ECCV (2014). [paper] [project]

• STC: Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang, David Zhang. "Fast Tracking via Spatio-Temporal Context Learning." ECCV (2014). [paper] [project]

• SAMF: Yang Li, Jianke Zhu. "A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration." ECCV workshop (2014). [paper] [github]

• DLT: Naiyan Wang and Dit-Yan Yeung. "Learning A Deep Compact Image Representation for Visual Tracking." NIPS (2013). [paper] [project] [code]

• AOGTracker: Tianfu Wu , Yang Lu and Song-Chun Zhu. "Online Object Tracking, Learning and Parsing with And-Or Graphs." TPAMI (2017). [paper] [project] [github]

• MCPF: Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. " Learning Multi-task Correlation Particle Filters for Visual Tracking." TPAMI (2017). [[paper]] [project] [code]

• RSST: Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. " Robust Structural Sparse Tracking." TPAMI (2017). [[paper]] [project] [code]

• fDSST: Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. "Discriminative Scale Space Tracking." TPAMI (2017). [paper] [project] [code]

• KCF: João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista. "High-Speed Tracking with Kernelized Correlation Filters." TPAMI (2015). [paper] [project]

• CLRST: Tianzhu Zhang, Si Liu, Narendra Ahuja, Ming-Hsuan Yang, Bernard Ghanem.
  "Robust Visual Tracking Via Consistent Low-Rank Sparse Learning." IJCV (2015). [paper] [project] [code]

• DNT: Zhizhen Chi, Hongyang Li, Huchuan Lu, Ming-Hsuan Yang. "Dual Deep Network for Visual Tracking." TIP (2017). [paper]

• BIT: Bolun Cai, Xiangmin Xu, Xiaofen Xing, Kui Jia, Jie Miao, Dacheng Tao. "BIT: Biologically Inspired Tracker." TIP (2016). [paper] [project] [github]

• CNT: Kaihua Zhang, Qingshan Liu, Yi Wu, Minghsuan Yang. "Robust Visual Tracking via Convolutional Networks Without Training." TIP (2016). [paper] [code]

• PAWSS: Xiaofei Du, Alessio Dore, Danail Stoyanov. "Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking." arXiv (2017). [paper]

• SFT: Zhen Cui, You yi Cai, Wen ming Zheng, Jian Yang. "Spectral Filter Tracking." arXiv (2017). [paper]

• HART: Adam R. Kosiorek, Alex Bewley, Ingmar Posner. "Hierarchical Attentive Recurrent Tracking." arXiv (2017). [paper] [github]

• Re3: Daniel Gordon, Ali Farhadi, Dieter Fox. "Re3 : Real-Time Recurrent Regression Networks for Object Tracking." arXiv (2017). [paper]

• TCNN: Hyeonseob Nam, Mooyeol Baek, Bohyung Han. "Modeling and Propagating CNNs in a Tree Structure for Visual Tracking." arXiv (2016). [paper] [code]

• RDT: Janghoon Choi, Junseok Kwon, Kyoung Mu Lee. "Visual Tracking by Reinforced Decision Making." arXiv (2017). [paper]

• MSDAT: Xinyu Wang, Hanxi Li, Yi Li, Fumin Shen, Fatih Porikli . "Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation." arXiv (2017). [paper]

• RLT: Da Zhang, Hamid Maei, Xin Wang, Yuan-Fang Wang. "Deep Reinforcement Learning for Visual Object Tracking in Videos." arXiv (2017). [paper]

• SCF: Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang. "Learning Support Correlation Filters for Visual Tracking." arXiv (2016). [paper] [project]

• CRT: Kai Chen, Wenbing Tao. "Convolutional Regression for Visual Tracking." arXiv (2016). [paper]

• BMR: Kaihua Zhang, Qingshan Liu, and Ming-Hsuan Yang. "Visual Tracking via Boolean Map Representations." arXiv (2016). [paper]

• YCNN: Kai Chen, Wenbing Tao. "Once for All: a Two-flow Convolutional Neural Network for Visual Tracking." arXiv (2016). [paper]

• ROLO: Guanghan Ning, Zhi Zhang, Chen Huang, Zhihai He, Xiaobo Ren, Haohong Wang. "Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking." arXiv (2016). [paper] [project] [github]

• RATM: Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic. "RATM: Recurrent Attentive Tracking Model." arXiv (2015). [paper] [github]

• SO-DLT: Naiyan Wang, Siyi Li, Abhinav Gupta, Dit-Yan Yeung. "Transferring Rich Feature Hierarchies for Robust Visual Tracking." arXiv (2015). [paper] [code]

• DMSRDCF: Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg. "Deep Motion Features for Visual Tracking." ICPR Best Paper (2016). [paper]

• Dataset-AMP: Luka Čehovin Zajc; Alan Lukežič; Aleš Leonardis; Matej Kristan. "Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking." ICCV (2017). [paper]

• Dataset-Nfs: Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan and Simon Lucey. "Need for Speed: A Benchmark for Higher Frame Rate Object Tracking." ICCV (2017) [paper] [supp] [project]

• Dataset-DTB70: Siyi Li, Dit-Yan Yeung. "Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models." AAAI (2017) [paper] [project] [dataset]

• Dataset-UAV123: Matthias Mueller, Neil Smith and Bernard Ghanem. "A Benchmark and Simulator for UAV Tracking." ECCV (2016) [paper] [project] [dataset]

• Dataset-TColor-128: Pengpeng Liang, Erik Blasch, Haibin Ling. "Encoding color information for visual tracking: Algorithms and benchmark." TIP (2015) [paper] [project] [dataset]

• Dataset-NUS-PRO: Annan Li, Min Lin, Yi Wu, Ming-Hsuan Yang, and Shuicheng Yan. "NUS-PRO: A New Visual Tracking Challenge." PAMI (2015) [paper] [project] [Data_360(code:bf28)] [Data_baidu]] [View_360(code:515a)] [View_baidu]]

• Dataset-PTB: Shuran Song and Jianxiong Xiao. "Tracking Revisited using RGBD Camera: Unified Benchmark and Baselines." ICCV (2013) [paper] [project] [5 validation] [95 evaluation]

• Dataset-ALOV300+: Arnold W. M. Smeulders, Dung M. Chu, Rita Cucchiara, Simone Calderara, Afshin Dehghan, Mubarak Shah. "Visual Tracking: An Experimental Survey." PAMI (2014) [paper] [project] Mirror Link:ALOV300++ Dataset Mirror Link:ALOV300++ Groundtruth

• OTB2013: Wu, Yi, Jongwoo Lim, and Minghsuan Yang. "Online Object Tracking: A Benchmark." CVPR (2013). [paper]

• OTB2015: Wu, Yi, Jongwoo Lim, and Minghsuan Yang. "Object Tracking Benchmark." TPAMI (2015). [paper] [project]

• Dataset-VOT: [project]

[VOT13_paper_ICCV]The Visual Object Tracking VOT2013 challenge results

[VOT14_paper_ECCV]The Visual Object Tracking VOT2014 challenge results

[VOT15_paper_ICCV]The Visual Object Tracking VOT2015 challenge results

[VOT16_paper_ECCV]The Visual Object Tracking VOT2016 challenge results

[VOT17_paper_ICCV]The Visual Object Tracking VOT2017 challenge results

The trackers are ordered by the average overlap scores.

• AUC and Precision are the standard metrics.
• Deep Learning: deep learning features, deep learning method and RL.
• RealTime: Speeds from the original paper, not test on the same platform. (just focus magnitude)

Most of them come from foolwood/benchmark_results. I mainly added some missing papers and fixed some links that were not available.