论文阅读笔记：Unsupervised Feature Learning via Non-Parametric Instance Discrimination

时间 2020-12-24

标签无监督学习繁體版

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Unsupervised Feature Learning via Non-Parametric Instance Discrimination 论文下载地址 github代码地址 Summary 这篇论文主要论述如何通过非参数的实例判别进行无监督的特征学习。本文使用CNN backbone，原始图片输入网络后输出一个经过L2标准化的128维向量，通过Non-Parametric Softmax

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1. [解读] Unsupervised Feature Learning via Non-Parametric Instance Discrimination
2. Unsupervised Feature Learning via Non-parametric Instance Discrimination
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1. [解读] Unsupervised Feature Learning via Non-Parametric Instance Discrimination
2. Unsupervised Feature Learning via Non-parametric Instance Discrimination
3. Unsupervised Feature Learning via Non-Parametric Instance Discrimination
4. 论文阅读:Unsupervised Deep Learning by Neighbourhood Discovery
5. 《论文阅读》Unsupervised Person Re-identification via Softened Similarity Learning
6. 论文阅读笔记：Momentum Contrast for Unsupervised Visual Representation Learning
7. Machine Learning & Deep Learning 论文阅读笔记
8. 《PixelLink: Detecting Scene Text via Instance Segmentation》论文阅读笔记
9. 论文阅读笔记《One-Shot Visual Imitation Learning via Meta-Learning》
10. 论文阅读02 Unsupervised Feature Learning for RGB-D Based Object Recognition

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