Joint Pose and Expression Modeling for Facial Expression Recognition 論文翻譯
Joint Pose and Expression Modeling for Facial Expression Recognition Abstract 面部表情識別是一項具有挑戰性的任務，因爲在任意的姿態下表情會發生變化。大多數傳統的方法要麼在非正面的面部圖像上進行正面化，要麼爲每個姿勢學習單獨的分類器。與現有的方法不同，本文提出了一種利用不同姿態和表情聯合進行人臉圖像合成和位置不變人臉表情識
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相關文章
- 1. 2018CVPR：Joint Pose and Expression Modeling for Facial Expression Recognition閱讀筆記
- 2. ICCV2015論文 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文章解讀
- 4. 2015 ICCV論文《Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition》
- 5. Deep Covariance Descriptors for Facial Expression Recognition
- 6. 2020tip表情識別論文Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition解讀
- 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-論文筆記