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)

PDF Abstract ECCV 2020 PDF ECCV 2020 Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper