Jing-Cheng Chang

Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification

Few-shot learning (FSL) requires one to learn from object categories with a small amount of training data (as novel classes), while the remaining categories (as base classes) contain a sufficient amount of data for training. It is often desirable to transfer knowledge from the base classes and deriv…