【论文笔记】Unsupervised Discovery of Object Landmarks as Structural Representations

时间 2021-01-13

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paper：http://www.ytzhang.net/files/publications/2018-cvpr-lmdis-rep.pdf slide：http://www.ytzhang.net/files/publications/2018-cvpr-lmdis-rep-slides.pdf 整个运用了 autoencoder的思想，通过最小化重构误差来优化encoder 和decod

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1. 【论文笔记】Unsupervised Discovery of Object Landmarks as Structural Representations
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1. 【论文笔记】Unsupervised Discovery of Object Landmarks as Structural Representations
2. CVPR2018论文解读 Unsupervised Discovery of Object Landmarks as Structural Representations
3. 极简笔记 Unsupervised Discovery of Object Landmarks as Structural Representations
4. ECCV2016【论文笔记】Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
5. 【论文笔记】Joint Unsupervised Learning of Deep Representations and Image Clusters
6. 【论文笔记】Unsupervised Learning of Video Representations using LSTMs
7. 论文笔记：Object as Points
8. 论文笔记----DeepWalk: Online Learning of Social Representations
9. 论文笔记：DeepWalk: Online Learning of Social Representations
10. 【论文笔记】Unsupervised Domain-Specific Deblurring via Disentangled Representations

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