Imposing Consistency for Optical Flow Estimation
Author:
Affiliation:
1. Qualcomm AI Research
2. Google Research
3. Seoul National University
Funder
National Research Foundation of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879396.pdf?arnumber=9879396
Reference52 articles.
1. PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
2. AutoFlow: Learning a Better Training Set for Optical Flow
3. A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
4. DVC: An End-To-End Deep Video Compression Framework
5. Self-low: Self-supervised learning of optical flow;liu;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,0
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