IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow Estimation
Author:
Affiliation:
1. Huazhong University of Science and Technology,Hubei Key Laboratory of Smart Internet, School of Electronic Information and Communications,Wuhan
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376667.pdf?arnumber=10376667
Reference36 articles.
1. RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds
2. PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds
3. Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation
4. PUA-MOS: End-to-End Point-wise Uncertainty Weighted Aggregation for Moving Object Segmentation
5. RSF: Optimizing Rigid Scene Flow From 3D Point Clouds Without Labels
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