10 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 1 cited
Trainable Class Prototypes for Few-Shot Learning
Jianyi Li, Guizhong Liu
Metric learning is a widely used method for few shot learning in which the quality of prototypes plays a key role in the algorithm. In this paper we propose the trainable prototype…
cs.CV2020★ 10 cited
Few-Shot Image Classification via Contrastive Self-Supervised Learning
Jianyi Li, Guizhong Liu
Most previous few-shot learning algorithms are based on meta-training with fake few-shot tasks as training samples, where large labeled base classes are required. The trained model…