论文笔记：Evolving Losses for Unsupervised Video Representation Learning
Evolving Losses for Unsupervised Video Representation Learning 论文笔记 Distillation Knowledge Distillation from: zhihu Distillate Knowledge from Teacher model Net-T to Student model Net-S. 目的：为了精简模型方便部署。
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相关文章
- 1. 论文阅读笔记：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 --- 论文笔记
- 4. CVPR 2017【论文笔记】Unsupervised Learning of Depth and Ego-Motion from Video
- 5. 论文阅读——Mockingjay: unsupervised speech representation learning
- 6. [论文笔记]Unsupervised Visual Representation Learning by Context Prediction
- 7. 【论文笔记】Representation Learning by Learning to Count
- 8. 【论文笔记】Unsupervised Learning of Video Representations using LSTMs
- 9. 《Unsupervised Learning of Depth and Ego-Motion from Video》论文笔记
- 10. 论文翻译：Unsupervised Representation Learning with Long-Term Dynamics for Skeleton Based Action Recognit