Paper list of 3D detetction, keep updating!
- [MonoDDE] Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection [CVPR2022]
- [Homography] Homography Loss for Monocular 3D Object Detection [CVPR2022]
- [Rope3D] Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task [CVPR2022]
- [MonoDTR] MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer [CVPR2022][Pytorch]
- [MonoJSG] MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection [CVPR2022]
- [Pseudo-Stereo] Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving [CVPR2022][Pytorch]
- [MonoDistill] MonoDistill: Learning Spatial Features for Monocular 3D Object Detection [ICLR2022][Pytorch]
- [WeakM3D] WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection [ICLR2022]
- [MonoCon] Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection [AAAI2022][Pytorch]
- [ImVoxelNet] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection [WACV2022][Pytorch]
- [PCT] Progressive Coordinate Transforms for Monocular 3D Object Detection [NeurIPS2021][Pytorch]
- [DeepLineEncoding] Deep Line Encoding for Monocular 3D Object Detection and Depth Prediction [BMVC2021][Pytorch]
- [DFR-Net] The Devil Is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection [ICCV2021]
- [AutoShape] AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection [ICCV2021][Pytorch][Paddle]
- [pseudo-analysis] Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection? [ICCV2021]
- [Gated3D] Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues [ICCV2021]
- [MonoRCNN] Geometry-based Distance Decomposition for Monocular 3D Object Detection [ICCV2021][Pytorch]
- [DD3D] Is Pseudo-Lidar needed for Monocular 3D Object detection [ICCV2021][Pytorch]
- [GUPNet] Geometry Uncertainty Projection Network for Monocular 3D Object Detection [ICCV2021][Pytorch]
- [Neighbor-Vote] Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting [ACMMM2021]
- [MonoEF] Monocular 3D Object Detection: An Extrinsic Parameter Free Approach [CVPR2021][Pytorch]
- [monodle] Delving into Localization Errors for Monocular 3D Object Detection [CVPR2021][Pytorch]
- [Monoflex] Objects are Different: Flexible Monocular 3D Object Detection [CVPR2021][Pytorch]
- [GrooMeD-NMS] GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection [CVPR2021][Pytorch]
- [DDMP-3D] Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection [CVPR2021][Pytorch]
- [MonoRUn] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation [CVPR2021][Pytorch]
- [M3DSSD] M3DSSD: Monocular 3D Single Stage Object Detector [CVPR2021][Pytorch]
- [CaDDN] Categorical Depth Distribution Network for Monocular 3D Object Detection [CVPR2021][Pytorch]
- [visualDet3D] Ground-aware Monocular 3D Object Detection for Autonomous Driving [RA-L][Pytorch]
- [UR3D] Distance-Normalized Unified Representation for Monocular 3D Object Detection [ECCV2020]
- [MonoDR] Monocular Differentiable Rendering for Self-Supervised 3D Object Detection [ECCV2020]
- [DA-3Ddet] Monocular 3d object detection via feature domain adaptation [ECCV2020]
- [MoVi-3D] Towards generalization across depth for monocular 3d object detection [ECCV2020]
- [PatchNet] Rethinking Pseudo-LiDAR Representation [ECCV2020][Pytorch]
- [RAR-Net] Reinforced Axial Refinement Network for Monocular 3D Object Detection [ECCV2020]
- [kinematic3d] Kinematic 3D Object Detection in Monocular Video [ECCV2020][Pytorch]
- [RTM3D] RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving [ECCV2020][Pytorch]
- [SMOKE] SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation [CVPRW2020][Pytorch]
- [D4LCN] Learning Depth-Guided Convolutions for Monocular 3D Object Detection [CVPRW2020][Pytorch]
- [MonoPair] MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships [CVPR2020]
- [pseudo-LiDAR_e2e] End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection [CVPR2020][Pytorch]
- [Pseudo-LiDAR++] Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving [ICLR2020][Pytorch]
- [OACV] Object-Aware Centroid Voting for Monocular 3D Object Detection [IROS2020]
- [MonoGRNet_v2] Monocular 3D Object Detection via Geometric Reasoning on Keypoints [VISIGRAPP2020]
- [ForeSeE] Task-Aware Monocular Depth Estimation for 3D Object Detection [AAAI2020(oral)][Pytorch]
- [Decoupled-3D] Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation [AAAI2020]
- [3d-vehicle-tracking] Joint Monocular 3D Vehicle Detection and Tracking [ICCV2019][Pytorch]
- [MonoDIS] Disentangling monocular 3d object detection [ICCV2019]
- [AM3D] Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving [ICCV2019]
- [M3D-RPN] M3D-RPN: Monocular 3D Region Proposal Network for Object Detection [ICCV2019(Oral)][Pytorch]
- [MVRA] Multi-View Reprojection Architecture for Orientation Estimation [ICCVW2019]
- [Mono3DPLiDAR] Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud [ICCVW2019]
- [MonoPSR] Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction [CVPR2019][Pytorch]
- [FQNet] Deep fitting degree scoring network for monocular 3d object detection [CVPR2019]
- [ROI-10D] ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape [CVPR2019]
- [GS3D] GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving [CVPR2019]
- [Pseudo-LiDAR] Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving [CVPR2019][Pytorch]
- [BirdGAN] Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles [IROS2019]
- [MonoGRNet] MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization [AAAI2019(oral)][Tensorflow]
- [OFT-Net] Orthographic feature transform for monocular 3d object detection [BMVC2019][Pytorch]
- [Shift R-CNN] Shift R-CNN: Deep Monocular 3D Object Detection with Closed-Form Geometric Constraints [TIP2019]
- [SS3D] SS3D: Monocular 3d object detection and box fitting trained end-to-end using intersection-over-union loss [Arxiv2019]
- [Multi-Fusion] Multi-Level Fusion based 3D Object Detection from Monocular Images [CVPR2018][Pytorch]
- [Mono3D++] Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors [AAAI2018]
- [Deep3DBox] 3D Bounding Box Estimation Using Deep Learning and Geometry [CVPR2017][Pytorch][Tensorflow]
- [Deep MANTA] Deep MANTA: A Coarse-to-fine Many-Task Network for joint 2D and 3D vehicle analysis from monocular image [CVPR2017]
- [Mono3D] Monocular 3D object detection for autonomous driving [CVPR2016]
Method | Extra | Test, AP3D|R40 | Val, AP3D|R40 | Reference | ||||
---|---|---|---|---|---|---|---|---|
Easy | Mod. | Hard | Easy | Mod. | Hard | |||
MonoPSR | Lidar | 10.76 | 7.25 | 5.85 | - | - | - | CVPR2019 |
MonoRUn | Lidar | 19.65 | 12.30 | 10.58 | 20.02 | 14.65 | 12.61 | CVPR2021 |
CaDDN | Lidar | 19.17 | 13.41 | 11.46 | 23.57 | 16.31 | 13.84 | CVPR2021 |
MonoDistill | Lidar | 22.97 | 16.03 | 13.60 | 24.31 | 18.47 | 15.76 | ICLR2022 |
AM3D | Depth | 16.50 | 10.74 | 9.52 | 28.31 | 15.76 | 12.24 | ICCV2019 |
PatchNet | Depth | 15.68 | 11.12 | 10.17 | 31.60 | 16.80 | 13.80 | ECCV2020 |
D4LCN | Depth | 16.65 | 11.72 | 9.51 | 22.32 | 16.20 | 12.30 | CVPRW2020 |
DFR-Net | Depth | 19.40 | 13.63 | 10.35 | 24.81 | 17.78 | 14.41 | ICCV2021 |
Pseudo-Stereo | Depth | 23.74 | 17.74 | 15.14 | 35.18 | 24.15 | 20.35 | CVPR2022 |
M3D-RPN | None | 14.76 | 9.71 | 7.42 | 14.53 | 11.07 | 8.65 | ICCV2019 |
SMOKE | None | 14.03 | 9.76 | 7.84 | - | - | - | CVPRW2020 |
MonoPair | None | 13.04 | 9.99 | 8.65 | 16.28 | 12.30 | 10.42 | CVPR2020 |
RTM3D | None | 14.41 | 10.34 | 8.77 | - | - | - | ECCV2020 |
M3DSSD | None | 17.51 | 11.46 | 8.98 | - | - | - | CVPR2021 |
Monoflex | None | 19.94 | 13.89 | 12.07 | 23.64 | 17.51 | 14.83 | CVPR2021 |
GUPNet | None | 20.11 | 14.20 | 11.77 | 22.76 | 16.46 | 13.72 | ICCV2021 |
MonoCon | None | 22.50 | 16.46 | 13.95 | 26.33 | 19.01 | 15.98 | AAAI2022 |
MonoDDE | None | 24.93 | 17.14 | 15.10 | 26.66 | 19.75 | 16.72 | CVPR2022 |