Graphonomy: Universal Human Parsing via Graph Transfer Learning
Graphonomy: Universal Human Parsing via Graph Transfer Learning(CVPR2019) 作者認爲現在human parsing任務，都是每個網絡針對每個不同的數據集調到最優而犧牲了泛化能力，所以想通過一個網絡能統一處理各種human parsing的數據集，設計了一個通用的human parsing模型，可以通過統一來自不同領域或不同粒度
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相關文章
- 1. Graph Few-shot learning via Knowledge Transfer
- 2. Paper Note --- Transfer Learning via Dimensionality Reduction
- 3. human parsing—學習筆記
- 4. 論文閱讀：Learning Human-Object Interactions by Graph Parsing Neural Networks
- 5. 《Universal Style Transfer via Feature Transforms》論文解讀
- 6. 遷移學習論文閱讀：Transfer Learning via Learning to Transfer
- 7. Transfer Learning for Item Recommendations and Knowledge Graph Completion
- 8. [paper] Multiple Human Parsing
- 9. transfer learning
- 10. (13)[ICLR16] Net2Net: ACCELERATING LEARNING VIA KNOWLEDGE TRANSFER