CLCC: Contrastive Learning for Color Constancy

• Published in: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp. 8049 - 8059
• Main Authors: Lo, Yi-Chen, Chang, Chia-Che, Chiu, Hsuan-Chao, Huang, Yu-Hao, Chen, Chia-Ping, Chang, Yu-Lin, Jou, Kevin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2021
• Subjects: Computational modeling; Computer vision; Data models; Deep learning; Image color analysis; Pattern recognition; Visualization

In this paper, we present CLCC, a novel contrastive learning framework for color constancy. Contrastive learning has been applied for learning high-quality visual representations for image classification. One key aspect to yield useful representations for image classification is to design illuminant...