2 papers
cs.CV2021
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy
Junying Huang, Fan Chen, Keze Wang +2
Aiming at recognizing the samples from novel categories with few reference samples, few-shot learning (FSL) is a challenging problem. We found that the existing works often build t…
cs.CV2021
Solving Inefficiency of Self-supervised Representation Learning
Guangrun Wang, Keze Wang, Guangcong Wang +2
Self-supervised learning (especially contrastive learning) has attracted great interest due to its huge potential in learning discriminative representations in an unsupervised mann…