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讀論文,多區塊處理:Joint Patch and Multi-label Learning forFacial Action Unit Detection
時間 2021-01-02
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multi-patches
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比特幣
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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
>>更多相關文章<<