读论文，多区块处理：Joint Patch and Multi-label Learning forFacial Action Unit Detection
Joint Patch and Multi-label Learning forFacial Action Unit Detection 这篇文章是讲脸部动作（action units，AU）微妙，有很多意思可以解读出来。现有方法使用one-vs-all的分类方法，不能探索AU间的依赖关系。这篇文章提出的方法是多区块和多标注学习joint-patch andmulti-label learni
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相关文章
- 1. 读论文，多区块处理：Learning Semantic Concepts and Order forImage and Sentence Matching
- 2. 论文阅读：Associative Embedding: End-to-End Learning for Joint Detection and Grouping
- 3. 1604.Joint Detection and Identification Feature Learning for Person Search论文阅读笔记
- 4. 读论文，多区块处理：Deep Multi-Patch Aggregation Network forImage Style, Aesthetics, and Quality Estimation
- 5. 【笔记】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简要论文笔记
- 7. 论文翻译：Associative Embedding:End-to-End Learning for Joint Detection and Grouping
- 8. 论文笔记之--Joint Detection and Identification Feature Learning for Person Search
- 9. 论文阅读：Deep Joint Rain Detection and Removal from a Single Image
- 10. 弱监督论文简读：Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation