Webly Supervised Image Classification with Self-Contained Confidence

ECCV 2020 Jingkang YangLitong FengWeirong ChenXiaopeng YanHuabin ZhengPing LuoWayne Zhang

This paper focuses on webly supervised learning (WSL), where datasets are built by crawling samples from the Internet and directly using search queries as web labels. Although WSL benefits from fast and low-cost data collection, noises in web labels hinder better performance of the image classification model... (read more)

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