Instance Credibility Inference for Few-Shot Learning

CVPR 2020 Yikai WangChengming XuChen LiuLi ZhangYanwei Fu

Few-shot learning (FSL) aims to recognize new objects with extremely limited training data for each category. Previous efforts are made by either leveraging meta-learning paradigm or novel principles in data augmentation to alleviate this extremely data-scarce problem... (read more)

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