PUA-MOS: End-to-End Point-wise Uncertainty Weighted Aggregation for Moving Object Segmentation
Author:
Affiliation:
1. School of Electronic Information and Communications, Huazhong University of Science and Technology,Wuhan,Hubei,China
2. Da Jiang innovate technology Ltd,Shenzhen,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981500.pdf?arnumber=9981500
Reference32 articles.
1. FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos
2. HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds
3. FlowNet3D: Learning Scene Flow in 3D Point Clouds
4. RGB-D SLAM in Dynamic Environments Using Static Point Weighting
5. Robust and efficient rgb-d slam in dynamic environments;yang;IEEE Transactions on Multimedia,2020
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1. IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow Estimation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
2. Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds;IEEE Transactions on Robotics;2023
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