CVPR2020: Suppressing Uncertainties for Large-Scale Facial Expression Recognition 阅读随笔
0. Abstract 大规模表情识别(large-scale Facial Expression Recognition, FER)的主要挑战在于不确定性(uncertainties)，这些不确定性来源于模棱两可的面部表情(ambiguous facial expressions),低质量的脸部图像(low-quality facial images)和标注者的主观性(the subjectiv
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相关文章
- 1. Suppressing Uncertainties for Large-Scale Facial Expression Recognition阅读笔记
- 2. 2020cvpr最佳人脸识别-Suppressing Uncertainties for Large-Scale Facial Expression Recognition
- 3. 2018CVPR：Joint Pose and Expression Modeling for Facial Expression Recognition阅读笔记
- 4. A Compact Deep Learning Model for Robust Facial Expression Recognition 阅读笔记
- 5. Facial Expression Recognition by De-expression Residue Learning阅读笔记
- 6. Deep Covariance Descriptors for Facial Expression Recognition
- 7. FERAtt: Facial Expression Recognition with Attention Net阅读笔记
- 8. Facial Expression Recognition Using KCCA
- 9. 2020 CVPR Suppressing Uncertainties for Large-Scale FER
- 10. Deep Facial Expression Recognition: A Survey