Joint Pose and Expression Modeling for Facial Expression Recognition 论文翻译
Joint Pose and Expression Modeling for Facial Expression Recognition Abstract 面部表情识别是一项具有挑战性的任务，因为在任意的姿态下表情会发生变化。大多数传统的方法要么在非正面的面部图像上进行正面化，要么为每个姿势学习单独的分类器。与现有的方法不同，本文提出了一种利用不同姿态和表情联合进行人脸图像合成和位置不变人脸表情识
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相关文章
- 1. 2018CVPR：Joint Pose and Expression Modeling for Facial Expression Recognition阅读笔记
- 2. ICCV2015论文 Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition解析
- 3. Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition文章解读
- 4. 2015 ICCV论文《Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition》
- 5. Deep Covariance Descriptors for Facial Expression Recognition
- 6. 2020tip表情识别论文Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition解读
- 7. Multi-channel Pose-aware Convolution Neural Networks for Multi-view Facial Expression Recognition
- 8. Facial Expression Recognition Using KCCA
- 9. Facial Expression Recognition by De-expression Residue Learning
- 10. Facial Expression Recognition by De-expression Residue Learning-论文笔记