https://github.com/cxy1997/3D_adapt_auto_driving
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
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/direcf/pointrcnn_multiclass
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/happinesslz/TANet
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
https://github.com/hongru-seu/PointPilliar
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/hova88/Lidardet
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/hova88/PointPillars_MultiHead_40FPS
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/isl-org/Open3D-ML
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/jhultman/PV-RCNN
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
https://github.com/jskim808/js_pointrcnn
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/krullgit/realsense_3d_detection
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/livox-sdk/livox_detection
https://github.com/megvii-research/petr
Cross Modal Transformer: Towards Fast and Robust 3D Object Detection
https://github.com/mjseong0414/TANet
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
https://github.com/mon95/centerpoint-maps
https://github.com/nvidia-ai-iot/lidar_ai_solution
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/open-mmlab/mmdetection3d
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/safetylab24/FusionCVCP
https://github.com/sanjeewk/ppnet
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/sshaoshuai/PV-RCNN
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
https://github.com/sshaoshuai/Pointnet2.PyTorch
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/sunshenggu/xc_eval_pcdet
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/tianweiy/CenterPoint-KITTI
https://github.com/ylwhxht/SRKD-DRET
Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection
https://github.com/zhulf0804/pointpillars
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/zion-king/Center-based-3D-Object-Detection-and-Tracking
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.