Deep Region and Multi-label Learning for Facial Action Unit Detection简要论文笔记
Deep Region and Multi-label Learning for Facial Action Unit Detection 摘要： 本文对以前的网络进行了改进，用一个统一的深度网络，同时解决Deep Region and Multi-label Learning(DRML) 这两个问题。 DRML中的一个重要方面是一个新的区域层（a region layer ），它使用前馈
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相关文章
- 1. 【笔记】Action Unit Detection with Region Adaptation Multi-labeling Learning and Optimal Temporal Fusing
- 2. 论文笔记：Learning Region Features for Object Detection
- 3. 论文阅读笔记《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-笔记
- 6. 论文解析——Deep Reinforcement Learning of Region Proposal Networks for Object Detection
- 7. 论文笔记 Deep Learning for Generic Object Detection: A Survey （一）
- 8. 论文笔记：Personalized Deep Learning for Tag Recommendation
- 9. Deep Convolutional Network Cascade for Facial Point Detection论文算法解析
- 10. 论文笔记：DEEP LEARNING FOR MONAURAL SPEECH SEPARATION