Deep Region and Multi-label Learning for Facial Action Unit Detection簡要論文筆記
Deep Region and Multi-label Learning for Facial Action Unit Detection 摘要： 本文對以前的網絡進行了改進，用一個統一的深度網絡，同時解決Deep Region and Multi-label Learning(DRML) 這兩個問題。 DRML中的一個重要方面是一個新的區域層（a region layer ），它使用前饋
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相關文章
- 1. 【筆記】Action Unit Detection with Region Adaptation Multi-labeling Learning and Optimal Temporal Fusing
- 2. 論文筆記：Learning Region Features for Object Detection
- 3. 論文閱讀筆記《Deep Active Learning for Civil Infrastructure Defect Detection and Classification》
- 4. Self-supervised Representation Learning from Videos for Facial Action Unit Detection(CVPR 2019)
- 5. Facial Landmark Detection by Deep Multi-task Learning-筆記
- 6. 論文解析——Deep Reinforcement Learning of Region Proposal Networks for Object Detection
- 7. 論文筆記 Deep Learning for Generic Object Detection: A Survey （一）
- 8. 論文筆記：Personalized Deep Learning for Tag Recommendation
- 9. Deep Convolutional Network Cascade for Facial Point Detection論文算法解析
- 10. 論文筆記：DEEP LEARNING FOR MONAURAL SPEECH SEPARATION