人脸表情识别论文阅读笔记1:A Compact Deep Learning Model for Robust Facial Expression Recognition
FER方法有两种，一是image-based方法；二是sequence-based方法，分别对应于静态图像数据集(eg：FER2013)和视频序列数据集(eg：CK+、Oulu-CASIA)。 论文概述 该论文来自2018年CVPR： 1.提出一种轻量型(compact)frame-based人脸表情识别模型，在性能不逊色state-of-the-art方法的同时参数量更少； 2.提出frame-
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相关文章
- 1. A Compact Deep Learning Model for Robust Facial Expression Recognition 阅读笔记
- 2. A Compact Deep Learning Model for Robust Facial Expression Recognition论文解析
- 3. CVPR2018论文 A Compact Deep Learning Model for Robust Facial Expression Recognition
- 4. 2020tip表情识别论文Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition解读
- 5. Deep Covariance Descriptors for Facial Expression Recognition
- 6. 泛读论文：Facial Expression Recognition 表情识别合集
- 7. Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks 视频人脸表情识别论文学习笔记
- 8. 论文笔记 Deep Facial Expression Recognition: A Survey深度面部表情识别调查
- 9. 表情识别入门：ECCV2016《Peak-Piloted Deep Network for Facial Expression Recognition》
- 10. 人脸识别 | 论文参考