[人工智能]CVPR2022目标检测方向论文

[1]?SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection

paper:?https://arxiv.org/pdf/2203.06398

code:?https://github.com/CityU-AIM-Group/SIGMA

[2]?Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection

paper:?https://arxiv.org/pdf/2203.05787

code: TBD

[3]?Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes

paper:?https://arxiv.org/pdf/2011.12001

code:?https://github.com/qq456cvb/CanonicalVoting

[4]?Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement

paper:?https://arxiv.org/pdf/2203.05238

code:?https://github.com/xuxw98/BackToReality

[5]?Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild

paper:?https://arxiv.org/pdf/2203.03800

code:?https://github.com/deeplearning-wisc/stud

[6]?Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection

paper:?https://arxiv.org/pdf/2203.02688

code:?https://github.com/lartpang/ZoomNet

[7]?DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

paper:?https://arxiv.org/pdf/2203.01305

code:?https://github.com/FengLi-ust/DN-DETR

[8]?Localization Distillation for Dense Object Detection

paper:?https://arxiv.org/pdf/2102.12252

code:?GitHub - HikariTJU/LD: Localization Distillation for Dense Object Detection (CVPR 2022)

[9]?Accelerating DETR Convergence via Semantic-Aligned Matching

paper:?https://arxiv.org/pdf/2203.06883

code:?GitHub - ZhangGongjie/SAM-DETR: Official PyTorch Implementation of SAM-DETR (CVPR 2022)

[10]?Point Density-Aware Voxels for LiDAR 3D Object Detection

paper:?https://arxiv.org/pdf/2203.05662

code:?https://github.com/TRAILab/PDV

[11]?Spatial Commonsense Graph for Object Localisation in Partial Scenes

paper:?https://arxiv.org/pdf/2203.05380

code:?Spatial Commonsense Graph for Object Localisation in Partial Scenes

[12]?Adversarial Texture for Fooling Person Detectors in the Physical World

paper:?https://arxiv.org/pdf/2203.03373

code: TBD

[13]?Rethinking Efficient Lane Detection via Curve Modeling

paper:?https://arxiv.org/pdf/2203.02431

code:?GitHub - voldemortX/pytorch-auto-drive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, PRNet, RESA, LSTR, BézierLaneNet...) based on PyTorch with mixed precision training

[14]?A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation

paper:?https://arxiv.org/pdf/2203.02133

code: TBD

[15]?Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving

paper:?https://arxiv.org/pdf/2203.02112

code:?GitHub - revisitq/Pseudo-Stereo-3D

[16]?Weakly Supervised Object Localization as Domain Adaption

paper:?https://arxiv.org/pdf/2203.01714

code:?https://github.com/zh460045050/DA-WSOL_CVPR2022

[17]?Focal and Global Knowledge Distillation for Detectors

paper:?https://arxiv.org/pdf/2111.11837

code:?GitHub - yzd-v/FGD: Focal and Global Knowledge Distillation for Detectors (CVPR 2022)