讀論文，多區塊處理：Joint Patch and Multi-label Learning forFacial Action Unit Detection
Joint Patch and Multi-label Learning forFacial Action Unit Detection 這篇文章是講臉部動作（action units，AU）微妙，有很多意思可以解讀出來。現有方法使用one-vs-all的分類方法，不能探索AU間的依賴關係。這篇文章提出的方法是多區塊和多標註學習joint-patch andmulti-label learni
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相關文章
- 1. 讀論文，多區塊處理：Learning Semantic Concepts and Order forImage and Sentence Matching
- 2. 論文閱讀：Associative Embedding: End-to-End Learning for Joint Detection and Grouping
- 3. 1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記
- 4. 讀論文，多區塊處理：Deep Multi-Patch Aggregation Network forImage Style, Aesthetics, and Quality Estimation
- 5. 【筆記】Action Unit Detection with Region Adaptation Multi-labeling Learning and Optimal Temporal Fusing
- 6. Deep Region and Multi-label Learning for Facial Action Unit Detection簡要論文筆記
- 7. 論文翻譯：Associative Embedding:End-to-End Learning for Joint Detection and Grouping
- 8. 論文筆記之--Joint Detection and Identification Feature Learning for Person Search
- 9. 論文閱讀：Deep Joint Rain Detection and Removal from a Single Image
- 10. 弱監督論文簡讀：Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation