Pareto Self-Supervised Training for Few-Shot Learning

• Main Authors: Chen, Zhengyu, Ge, Jixie, Zhan, Heshen, Huang, Siteng, Wang, Donglin
• Format: Journal Article
• Language: English
• Published: 15.04.2021
• Subjects: Computer Science - Computer Vision and Pattern Recognition

While few-shot learning (FSL) aims for rapid generalization to new concepts with little supervision, self-supervised learning (SSL) constructs supervisory signals directly computed from unlabeled data. Exploiting the complementarity of these two manners, few-shot auxiliary learning has recently draw...