Pareto Self-Supervised Training for Few-Shot Learning

no code implementations • CVPR 2021 • Zhengyu Chen, Jixie Ge, Heshen Zhan, Siteng Huang, Donglin Wang

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.

Auxiliary Learning Few-Shot Learning +2