人臉表情識別論文閱讀筆記1:A Compact Deep Learning Model for Robust Facial Expression Recognition
FER方法有兩種，一是image-based方法；二是sequence-based方法，分別對應於靜態圖像數據集(eg：FER2013)和視頻序列數據集(eg：CK+、Oulu-CASIA)。 論文概述 該論文來自2018年CVPR： 1.提出一種輕量型(compact)frame-based人臉表情識別模型，在性能不遜色state-of-the-art方法的同時參數量更少； 2.提出frame-
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- 2. A Compact Deep Learning Model for Robust Facial Expression Recognition論文解析
- 3. CVPR2018論文 A Compact Deep Learning Model for Robust Facial Expression Recognition
- 4. 2020tip表情識別論文Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition解讀
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- 7. Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks 視頻人臉表情識別論文學習筆記
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- 9. 表情識別入門：ECCV2016《Peak-Piloted Deep Network for Facial Expression Recognition》
- 10. 人臉識別 | 論文參考
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相關文章
- 1. A Compact Deep Learning Model for Robust Facial Expression Recognition 閱讀筆記
- 2. A Compact Deep Learning Model for Robust Facial Expression Recognition論文解析
- 3. CVPR2018論文 A Compact Deep Learning Model for Robust Facial Expression Recognition
- 4. 2020tip表情識別論文Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition解讀
- 5. Deep Covariance Descriptors for Facial Expression Recognition
- 6. 泛讀論文：Facial Expression Recognition 表情識別合集
- 7. Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks 視頻人臉表情識別論文學習筆記
- 8. 論文筆記 Deep Facial Expression Recognition: A Survey深度面部表情識別調查
- 9. 表情識別入門：ECCV2016《Peak-Piloted Deep Network for Facial Expression Recognition》
- 10. 人臉識別 | 論文參考