ECCV2016論文 Peak-piloted deep network for facial expression Recognition 解析
1、主要貢獻 提出了一種基於peak-piloted的表情識別新方案（PPDN：peak-piloted deep network），通過建立non-peak圖像和peak圖像的映射關係，提高了non-peak 圖像表情識別的準確率，解決了中間表情（non-peak 圖像表情）難以識別的問題；針對PPDN，提出了一種更有效的反向傳播算法PGS（PGS：peak gradient suppressi
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相關文章
- 1. 表情識別入門：ECCV2016《Peak-Piloted Deep Network for Facial Expression Recognition》
- 2. 2016 ECCV論文 《Peak-Piloted Deep Network for Facial Expression Recognition》
- 3. Deep Covariance Descriptors for Facial Expression Recognition
- 4. ICCV2015論文 Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition解析
- 5. A Compact Deep Learning Model for Robust Facial Expression Recognition論文解析
- 6. 2015 ICCV論文《Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition》
- 7. Deep Facial Expression Recognition: A Survey
- 8. CVPR2018論文 A Compact Deep Learning Model for Robust Facial Expression Recognition
- 9. Paper：Extended deep neural network for facial emotion recognition（2019)
- 10. Deep Convolutional Network Cascade for Facial Point Detection論文算法解析