【原创】【论文阅读】2020 Learning From Noisy Large-Scale Datasets With Minimal Supervision
论文地址：https://vision.cornell.edu/se3/wp-content/uploads/2017/04/DeepLabelCleaning_CVPR.pdf 利用大规模有噪数据训练模型的常用方法是在有噪数据上做预训练，在精标数据上做精调。 本文提出一种利用精标数据降低有噪数据中噪声的方法。 模型结构如下： 两个任务： Label Cleaning Network（模型结构图的
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相关文章
- 1. 论文笔记：Learning Denoising from Single Noisy Images
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