Papers with Code 아카이브
Robust 3D Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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3D Object Detection under Out-of-Distribution Scenarios
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/djning/see_beyond_seeing
공식 코드Robust 3D Object Detection from LiDAR-Radar Point Clouds via Cross-Modal Feature Augmentation
https://github.com/junjie18/cmt
공식 코드Cross Modal Transformer: Towards Fast and Robust 3D Object Detection
https://github.com/ldkong1205/Robo3D
공식 코드Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
https://github.com/mjseong0414/CRT-Fusion
공식 코드CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection
https://github.com/nutonomy/second.pytorch
공식 코드PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/open-mmlab/OpenPCDet
공식 코드PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
https://github.com/rasd3/3D-Dual-Fusion
공식 코드3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection
https://github.com/sshaoshuai/PointRCNN
공식 코드PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/syscv/lidar_snow_sim
공식 코드https://github.com/tianweiy/CenterPoint
공식 코드https://github.com/vdigpku/rcbevdet
공식 코드RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection
https://github.com/ylwhxht/l4dr
공식 코드L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection
https://gitee.com/gai-shaoyan/mind3d
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/15526837635/CenterPoint
https://github.com/2023-MindSpore-1/ms-code-215/tree/main/pointpillars
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/2023-MindSpore-1/ms-code-220/tree/main/textrcnn
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
https://github.com/2023-MindSpore-1/ms-code-222/tree/main/pointRCNN
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/2023-MindSpore-1/ms-code-6/tree/main/CascadeRCNN
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
https://github.com/CarkusL/CenterPoint
https://github.com/KPeng9510/MASS
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/KangchengLiu/FAC_Foreground_Aware_Contrast
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/KangchengLiu/RM3D
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/LKLQQ/pointpillars
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/MindSpore-paper-code-2/code2/tree/main/pointpillars
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/MindSpore-paper-code-3/code6/tree/main/CascadeRCNN
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
https://github.com/ModelBunker/PointRCNN-PyTorch
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/PaddlePaddle/Paddle3D
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/SmallMunich/nutonomy_pointpillars
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/Uuuuuuho/Pillar_on_SoC
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/abhigoku10/CenterPoint_PC
https://github.com/airalcorn2/paved2paradise
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/carterprice2/Deep_Learning_project
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/chowkamlee81/CentrePointNet
https://github.com/code-implementation1/Code5/tree/main/ms_rcnn
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
https://github.com/code-implementation1/Code7/tree/main/rcnn
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.