【論文筆記】Unsupervised Discovery of Object Landmarks as Structural Representations
paper：http://www.ytzhang.net/files/publications/2018-cvpr-lmdis-rep.pdf網絡 slide：http://www.ytzhang.net/files/publications/2018-cvpr-lmdis-rep-slides.pdf框架 整個運用了 autoencoder的思想，經過最小化重構偏差來優化encoder 和d
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相關文章
- 1. 【論文筆記】Unsupervised Discovery of Object Landmarks as Structural Representations
- 2. CVPR2018論文解讀 Unsupervised Discovery of Object Landmarks as Structural Representations
- 3. 極簡筆記 Unsupervised Discovery of Object Landmarks as Structural Representations
- 4. ECCV2016【論文筆記】Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
- 5. 【論文筆記】Joint Unsupervised Learning of Deep Representations and Image Clusters
- 6. 【論文筆記】Unsupervised Learning of Video Representations using LSTMs
- 7. 論文筆記：Object as Points
- 8. 論文筆記----DeepWalk: Online Learning of Social Representations
- 9. 論文筆記：DeepWalk: Online Learning of Social Representations
- 10. 【論文筆記】Unsupervised Domain-Specific Deblurring via Disentangled Representations