Learning from Large-scale Noisy Web Data with Ubiquitous Reweighting for Image Classification

IEEE transactions on pattern analysis and machine intelligence, pp. 1-1, 2020.

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Abstract:

Many advances of deep learning techniques originate from the efforts of addressing the image classification task on large-scale datasets. However, the construction of such clean datasets is costly and time-consuming since the Internet is overwhelmed by noisy images with inadequate and inaccurate tags. In this paper, we propose a Ubiquitou...More

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