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論文筆記:Evolving Losses for Unsupervised Video Representation Learning
時間 2020-12-30
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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
>>更多相關文章<<