Chenlong Liu

Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition

The goal of few-shot image recognition is to distinguish different categories with only one or a few training samples. Previous works of few-shot learning mainly work on general object images. And current solutions usually learn a global image representation from training tasks to adapt novel tasks.…