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Object Proposal Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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Object proposal generation is a preprocessing technique that has been widely used in current object detection pipelines to guide the search of objects and avoid exhaustive sliding window search across images.
<span style="color:grey; opacity: 0.6">( Image credit: Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/shihaibi/MV3D
Multi-View 3D Object Detection Network for Autonomous Driving
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/tmoopenn/seq-nms
https://github.com/yhcool14/cityscapes-preprocess
https://github.com/yhcool14/sbd-preprocess
https://github.com/zhusiling/SEAL
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.