Papers with Code 아카이브
3D Object Detection From Stereo Images
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Estimating oriented 3D bounding boxes from Stereo Cameras only.
Image: You et al
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
PLUMENet: Efficient 3D Object Detection from Stereo Images
Wasserstein Distances for Stereo Disparity Estimation
3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation
DSGN: Deep Stereo Geometry Network for 3D Object Detection
Object-Centric Stereo Matching for 3D Object Detection
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
Triangulation Learning Network: from Monocular to Stereo 3D Object Detection
Stereo R-CNN based 3D Object Detection for Autonomous Driving
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.