論文閱讀筆記：Unsupervised Feature Learning via Non-Parametric Instance Discrimination
Unsupervised Feature Learning via Non-Parametric Instance Discrimination 論文下載地址 github代碼地址 Summary 這篇論文主要論述如何通過非參數的實例判別進行無監督的特徵學習。本文使用CNN backbone，原始圖片輸入網絡後輸出一個經過L2標準化的128維向量，通過Non-Parametric Softmax
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相關文章
- 1. [解讀] 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. 論文閱讀:Unsupervised Deep Learning by Neighbourhood Discovery
- 5. 《論文閱讀》Unsupervised Person Re-identification via Softened Similarity Learning
- 6. 論文閱讀筆記：Momentum Contrast for Unsupervised Visual Representation Learning
- 7. Machine Learning & Deep Learning 論文閱讀筆記
- 8. 《PixelLink: Detecting Scene Text via Instance Segmentation》論文閱讀筆記
- 9. 論文閱讀筆記《One-Shot Visual Imitation Learning via Meta-Learning》
- 10. 論文閱讀02 Unsupervised Feature Learning for RGB-D Based Object Recognition