2016 ECCV論文 《Peak-Piloted Deep Network for Facial Expression Recognition》
原文鏈接：https://arxiv.org/pdf/1607.06997.pdf 1、問題的提出 FER仍然具有挑戰： （1）對於同一種表情，不同的人往往表現出不同的強度和視覺外觀；在視頻中：non-peak、peak。 （2）同一個人的peak和non-peak表情在屬性上可能存在顯著的差異，如嘴角弧度、面部皺紋。 （3）Non-peak表情比peak表情更常見，而對non-peak表情識別比
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相關文章
- 1. Deep Covariance Descriptors for Facial Expression Recognition
- 2. ECCV2016論文 Peak-piloted deep network for facial expression Recognition 解析
- 3. 2015 ICCV論文《Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition》
- 4. ICCV2015論文 Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition解析
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- 9. Paper：Extended deep neural network for facial emotion recognition（2019)
- 10. Deep Facial Expression Recognition: A Survey 筆記