Unsupervised-Domain-Adaptation

LeaderBoard

Domain Adaptation for Semantic Segmentation (GTAV->Cityscapes and Synthia->Cityscapes Dataset)

Name	gta2cs	syn2cs	Methods	Reference
CLUDA	74.4	67.2	Pixel Contrastive Loss	"[CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation]" (https://arxiv.org/pdf/2208.14227.pdf)", Midhun Vayyat, Jaswin Kasi, Anuraag Bhattacharya, Shuaib Ahmed, Rahul Tallamraju, 27/8/2022
HRDA	73.8	65.8	Higher Resolution	"[HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation]" (https://arxiv.org/pdf/2204.13132v2.pdf)", Lukas Hoyer, Dengxin Dai, Luc Van Gools, ECCV 2022
DAFormer + SePiCo	70.3	64.3	Pixel Contrastive Loss	"[SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation]" (https://arxiv.org/pdf/2204.08808v1.pdf)", Binhui Xie, Shuang Li, Mingjia Li, Chi Harold Liu, Gao Huang, and Guoren Wang, T-PAMI
HRDA + ProCST	73.9	66.4	Image Translation	"[ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer]"(https://arxiv.org/pdf/2204.11891v2.pdf)", Shahaf Ettedgui, Shady Abu-Hussein, Raja Giryes, 25/4/2022
DAFormer + ProCST	69.4	61.6	Image Translation	"[ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer]"(https://arxiv.org/pdf/2204.11891v2.pdf)", Shahaf Ettedgui, Shady Abu-Hussein, Raja Giryes, 25/4/2022
DAFormer + CRnet	68.2	61.6	Pixel Contrastive Loss	"[Consistency Regularization for Domain Adaptation]" , 不太靠谱 , 23/8/2022
DAFormer	68.3	60.9	Transformer	"DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation", Lukas Hoyer, Dengxin Dai, Luc Van Gool, CVPR 2022
DACS	52.14	48.34	Mix Sampling	"DACS: Domain Adaptation via Cross-domain Mixed Sampling", Wilhelm Tranheden, Viktor Olsson, Juliano Pinto, Lennart Svensson, WACV 2021
DecoupleNet	59.1	57.0	Decouple Feature Distribution Alignment	"DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation", Xin Lai, Zhuotao Tian, Xiaogang Xu, Yingcong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia, ECCV 2022
HTCM	58.8	57.8	Target Domain Pixel Cross-Domain Mixing	"Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation", Junjie Li, Zilei Wang, Yuan Gao, Xiaoming Hu, 12/8/2022
ProDA + CRA	58.6	56.9	Adversarial Training in Target Domain	"Cross-Region Domain Adaptation for Class-level Alignment", Zhijie Wang, Xing Liu, Masanori Suganuma, Takayuki Okatani, 14/9/2021
ProDA	57.5	55.5	Prototypical pseudo label denoising, (a popular baseline)	"Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation", Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Yong Wang, Fang Wen, CVPR 2021