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Self-supervised Scene Flow Estimation
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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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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Self-Supervised Scene Flow Estimation with Point-Voxel Fusion and Surface Representation
SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
ICP-Flow: LiDAR Scene Flow Estimation with ICP
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision
ZeroFlow: Scalable Scene Flow via Distillation
Fast Neural Scene Flow
3D Object Detection with a Self-supervised Lidar Scene Flow Backbone
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions
Self-Supervised Scene Flow Estimation with 4-D Automotive Radar
Neural Scene Flow Prior
Self-Point-Flow: Self-Supervised Scene Flow Estimation from Point Clouds with Optimal Transport and Random Walk
Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation
Adversarial Self-Supervised Scene Flow Estimation
Do not trust the neighbors! Adversarial Metric Learning for Self-Supervised Scene Flow Estimation
Just Go with the Flow: Self-Supervised Scene Flow Estimation
PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.