CVPR2020: Suppressing Uncertainties for Large-Scale Facial Expression Recognition 閱讀隨筆

時間 2020-12-29

標籤 CVPR2020 人臉表情識別欄目 CSS 简体版

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0. Abstract 大規模表情識別(large-scale Facial Expression Recognition, FER)的主要挑戰在於不確定性(uncertainties)，這些不確定性來源於模棱兩可的面部表情(ambiguous facial expressions),低質量的臉部圖像(low-quality facial images)和標註者的主觀性(the subjectiv

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1. Suppressing Uncertainties for Large-Scale Facial Expression Recognition閱讀筆記
2. 2020cvpr最佳人臉識別-Suppressing Uncertainties for Large-Scale Facial Expression Recognition
3. 2018CVPR：Joint Pose and Expression Modeling for Facial Expression Recognition閱讀筆記
4. A Compact Deep Learning Model for Robust Facial Expression Recognition 閱讀筆記
5. Facial Expression Recognition by De-expression Residue Learning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. Facial Expression Recognition Using KCCA
9. 2020 CVPR Suppressing Uncertainties for Large-Scale FER
10. Deep Facial Expression Recognition: A Survey
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1. Suppressing Uncertainties for Large-Scale Facial Expression Recognition閱讀筆記
2. 2020cvpr最佳人臉識別-Suppressing Uncertainties for Large-Scale Facial Expression Recognition
3. 2018CVPR：Joint Pose and Expression Modeling for Facial Expression Recognition閱讀筆記
4. A Compact Deep Learning Model for Robust Facial Expression Recognition 閱讀筆記
5. Facial Expression Recognition by De-expression Residue Learning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. Facial Expression Recognition Using KCCA
9. 2020 CVPR Suppressing Uncertainties for Large-Scale FER
10. Deep Facial Expression Recognition: A Survey

>>更多相關文章<<