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3D Object Detection From Stereo Images
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Estimating oriented 3D bounding boxes from Stereo Cameras only.
Image: You et al
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HKUST-Aerial-Robotics/Stereo-RCNN
공식 코드Stereo R-CNN based 3D Object Detection for Autonomous Driving
https://github.com/Owen-Liuyuxuan/visualDet3D
공식 코드YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
https://github.com/chenyilun95/DSGN
공식 코드https://github.com/chenyilun95/dsgn2
공식 코드DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors
https://github.com/mileyan/Pseudo_Lidar_V2
공식 코드Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
https://github.com/mileyan/pseudo_lidar
공식 코드https://github.com/xy-guo/LIGA-Stereo
공식 코드LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
https://github.com/zju3dv/disprcnn
공식 코드Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
https://github.com/MindCode-4/code-5/tree/main/yolos
YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
https://github.com/ModelBunker/Stereo-RCNN-PyTorch
Stereo R-CNN based 3D Object Detection for Autonomous Driving
https://github.com/NANSHANB/StereoR-CNN
Stereo R-CNN based 3D Object Detection for Autonomous Driving
https://github.com/Zengyi-Qin/TLNet
Triangulation Learning Network: from Monocular to Stereo 3D Object Detection
https://github.com/haosulab/ManiSkill-Learn
https://github.com/mapeAAU/3D-ZeF
https://github.com/meteorshowers/X-StereoLab
https://github.com/srinu6/Stereo-3D-Object-Detection-for-Autonomous-Driving
Stereo R-CNN based 3D Object Detection for Autonomous Driving
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.