Meta Learning

A Dual Attention Network With Semantic Embedding for Few-shot Learning

Despite recent success of deep neural networks, it remains challenging to efficiently learn new visual concepts from limited training data. To address this problem, a prevailing strategy is to build a meta-learner that learns prior knowledge on …