2018CVPR：Joint Pose and Expression Modeling for Facial Expression Recognition閱讀筆記
介紹下這篇論文 這篇論文是江蘇大學張飛飛發在2018年CVPR上的一篇論文，針對姿態和表情建模來進行面部表情識別，其實就是以CGAN爲基礎，在上面創新。 貢獻 = 創新點 這裏引用他文章中的貢獻： 說白了，就是提出了一個端到端的學習模型，也可以說是提出了一種網絡結構，剩餘兩個創新點都是對第一個創新點的修飾，說這個模型能夠自動生成任意姿態任意表情的人臉圖像，這個模型在Multi-PIE、BU-3DF
相關文章
- 1. Joint Pose and Expression Modeling for Facial Expression Recognition 論文翻譯
- 2. Facial Expression Recognition by De-expression Residue Learning閱讀筆記
- 3. Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition文章解讀
- 4. Suppressing Uncertainties for Large-Scale Facial Expression Recognition閱讀筆記
- 5. A Compact Deep Learning Model for Robust Facial Expression Recognition 閱讀筆記
- 6. Deep Covariance Descriptors for Facial Expression Recognition
- 7. FERAtt: Facial Expression Recognition with Attention Net閱讀筆記
- 8. CVPR2020: Suppressing Uncertainties for Large-Scale Facial Expression Recognition 閱讀隨筆
- 9. Deep Facial Expression Recognition: A Survey 筆記
- 10. Facial Expression Recognition Using KCCA
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相關文章
- 1. Joint Pose and Expression Modeling for Facial Expression Recognition 論文翻譯
- 2. Facial Expression Recognition by De-expression Residue Learning閱讀筆記
- 3. Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition文章解讀
- 4. Suppressing Uncertainties for Large-Scale Facial Expression Recognition閱讀筆記
- 5. A Compact Deep Learning Model for Robust Facial Expression Recognition 閱讀筆記
- 6. Deep Covariance Descriptors for Facial Expression Recognition
- 7. FERAtt: Facial Expression Recognition with Attention Net閱讀筆記
- 8. CVPR2020: Suppressing Uncertainties for Large-Scale Facial Expression Recognition 閱讀隨筆
- 9. Deep Facial Expression Recognition: A Survey 筆記
- 10. Facial Expression Recognition Using KCCA