https://github.com/BillOuyang/3D-OGFlow
공식 코드Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Self-supervised method only with lidar point clouds as input to predict flows of each point.
Self-supervised way for scene flow estimation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds
Just Go with the Flow: Self-Supervised Scene Flow Estimation
3D Object Detection with a Self-supervised Lidar Scene Flow Backbone
SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
Self-Supervised Scene Flow Estimation with 4-D Automotive Radar
VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation
Self-Supervised Scene Flow Estimation with 4-D Automotive Radar
3D Object Detection with a Self-supervised Lidar Scene Flow Backbone
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.