2016 ECCV论文 《Peak-Piloted Deep Network for Facial Expression Recognition》
原文链接：https://arxiv.org/pdf/1607.06997.pdf 1、问题的提出 FER仍然具有挑战： （1）对于同一种表情，不同的人往往表现出不同的强度和视觉外观；在视频中：non-peak、peak。 （2）同一个人的peak和non-peak表情在属性上可能存在显著的差异，如嘴角弧度、面部皱纹。 （3）Non-peak表情比peak表情更常见，而对non-peak表情识别比
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相关文章
- 1. Deep Covariance Descriptors for Facial Expression Recognition
- 2. ECCV2016论文 Peak-piloted deep network for facial expression Recognition 解析
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- 4. ICCV2015论文 Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition解析
- 5. Deep Facial Expression Recognition: A Survey
- 6. A Compact Deep Learning Model for Robust Facial Expression Recognition论文解析
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- 9. Paper：Extended deep neural network for facial emotion recognition（2019)
- 10. Deep Facial Expression Recognition: A Survey 笔记