Learning Shadow Removal From Unpaired Samples via Reciprocal Learning
Author:
Affiliation:
1. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China
Funder
National Natural Science Foundation of China
Guangdong-Hong Kong-Macao Greater Bay Area International Science and Technology Innovation Cooperation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9991910/10154613.pdf?arnumber=10154613
Reference43 articles.
1. Texture-Consistent Shadow Removal
2. Bridging saliency detection to weakly supervised object detection based on self-paced curriculum learning;zhang;Proc IJCAI,2016
3. Natural shadow matting
4. A Threshold Selection Method from Gray-Level Histograms
5. Shadow Removal Using Intensity Surfaces and Texture Anchor Points
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