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Aug, 2019
从有噪标签的数据中进行深度自学习
Deep Self-Learning From Noisy Labels
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Jiangfan Han, Ping Luo, Xiaogang Wang
TL;DR
提出了一种新的深度自学习框架，用于在真实嘈杂的数据集上训练鲁棒性网络，无需额外的监督，并且与大多数现有方法不同，它不依赖于嘈杂标签分布的任何假设，具有更好的性能。
Abstract
convnets
achieve good results when training from clean data, but learning from
noisy labels
significantly degrades performances and remains challenging. Unlike previous works constrained by many conditions, makin
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