Comparative Study of latest CNN based Optical Flow Estimation
Author:
Affiliation:
1. Sousse University,National School of Engineers,Tunisia
2. Monastir University,Faculty of Science Monastir,Tunisia
3. Higher Institute of Applied Sciences and Technology. Sousse University,Tunisia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9806043/9806057/09806070.pdf?arnumber=9806070
Reference23 articles.
1. What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
2. FlowNet: Learning Optical Flow with Convolutional Networks
3. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
4. Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation
5. TransFlow: unsupervised motion flow by joint geometric and pixel-level estimation;alletto;arXiv preprint arXiv 1706 00322,2017
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