論文筆記：Evolving Losses for Unsupervised Video Representation Learning
Evolving Losses for Unsupervised Video Representation Learning 論文筆記 Distillation Knowledge Distillation from: zhihu Distillate Knowledge from Teacher model Net-T to Student model Net-S. 目的：爲了精簡模型方便部署。
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相關文章
- 1. 論文閱讀筆記：Momentum Contrast for Unsupervised Visual Representation Learning
- 2. Momentum Contrast for Unsupervised Visual Representation Learning
- 3. PredNet --- Deep Predictive coding networks for video prediction and unsupervised learning --- 論文筆記
- 4. CVPR 2017【論文筆記】Unsupervised Learning of Depth and Ego-Motion from Video
- 5. 論文閱讀——Mockingjay: unsupervised speech representation learning
- 6. [論文筆記]Unsupervised Visual Representation Learning by Context Prediction
- 7. 【論文筆記】Representation Learning by Learning to Count
- 8. 【論文筆記】Unsupervised Learning of Video Representations using LSTMs
- 9. 《Unsupervised Learning of Depth and Ego-Motion from Video》論文筆記
- 10. 論文翻譯：Unsupervised Representation Learning with Long-Term Dynamics for Skeleton Based Action Recognit