【论文笔记】Unsupervised Discovery of Object Landmarks as Structural Representations
paper：http://www.ytzhang.net/files/publications/2018-cvpr-lmdis-rep.pdf网络 slide：http://www.ytzhang.net/files/publications/2018-cvpr-lmdis-rep-slides.pdf框架 整个运用了 autoencoder的思想，经过最小化重构偏差来优化encoder 和d
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相关文章
- 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