Ranking-Based Color Constancy With Limited Training Samples-Reference-Cited by-同舟云学术

Ranking-Based Color Constancy With Limited Training Samples

Published:2023 Issue: Volume: Page:1-17
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Li Bing¹^ORCID,Qin Haina¹,Xiong Weihua²,Li Yangxi³,Feng Songhe⁴^ORCID,Hu Weiming⁵^ORCID,Maybank Stephen⁶^ORCID

Affiliation:

1. State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China

2. People AI, Inc., Beijing, China

3. National Computer Network Emergency Response Technical Team Coordination Center of China, Beijing, China

4. School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

5. State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences, Beijing, China

6. Department of Computer Science and Information Systems, Birkbeck College, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/10130607.pdf?arnumber=10130607

Reference65 articles.

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4. On accelerated proximal gradient methods for convex-concave optimization;tseng;SIAM J Optim,2008

5. FC4: Fully convolutional color constancy with confidence-weighted pooling;hu;Proc IEEE Conf Comput Vis Pattern Recognit,2017

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