Papers with Code 아카이브
Birds Eye View Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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KITTI birds eye view detection task
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR
Sparse PointPillars: Maintaining and Exploiting Input Sparsity to Improve Runtime on Embedded Systems
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Patch Refinement -- Localized 3D Object Detection
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
PIXOR: Real-time 3D Object Detection from Point Clouds
PointPillars: Fast Encoders for Object Detection from Point Clouds
Joint 3D Proposal Generation and Object Detection from View Aggregation
Frustum PointNets for 3D Object Detection from RGB-D Data
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Multi-View 3D Object Detection Network for Autonomous Driving
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.