Facial Expression Recognition by De-expression Residue Learning-论文笔记
Facial Expression Recognition by De-expression Residue Learning，这是一篇发表在CVPR2018上面的论文，翻译过来是“基于去表情残差学习的面部表情识别”。文章提出了一种通过从cGAN的各个层中提取表情信息进行表情识别的方法，这是一种比较新颖的方法，下面是对这篇文章的一些总结。 文章链接：CVPR 2018 open access 目录
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- 5. A Compact Deep Learning Model for Robust Facial Expression Recognition论文解析
- 6. CVPR2018论文 A Compact Deep Learning Model for Robust Facial Expression Recognition
- 7. Facial Expression Recognition Using KCCA
- 8. A Compact Deep Learning Model for Robust Facial Expression Recognition 阅读笔记
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相关文章
- 1. Facial Expression Recognition by De-expression Residue Learning
- 2. Facial Expression Recognition by De-expression Residue Learning阅读笔记
- 3. Deep Facial Expression Recognition: A Survey 笔记
- 4. Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?论文笔记
- 5. A Compact Deep Learning Model for Robust Facial Expression Recognition论文解析
- 6. CVPR2018论文 A Compact Deep Learning Model for Robust Facial Expression Recognition
- 7. Facial Expression Recognition Using KCCA
- 8. A Compact Deep Learning Model for Robust Facial Expression Recognition 阅读笔记
- 9. Deep Covariance Descriptors for Facial Expression Recognition
- 10. Joint Pose and Expression Modeling for Facial Expression Recognition 论文翻译