【論文整理】Face Related Papers and Code Collection Training sets

時間 2020-07-23

標籤論文整理 face related papers code collection training sets 简体版

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Training sets: MS-Celeb-1M: Microsoft dataset contains around 1M subjects [Project] [Paper] CASIA WebFace: 10,575 subjects and 494,414 images [Project] [Paper] CelebA: 202,599 images and 10,177 subjec

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1. 【論文整理】Face Related Papers and Code Collection
2. 【論文整理】Face Related Papers and Code Collection Training Loss
3. 【論文整理】Face Related Papers and Code Collection Face Reconstruction Research
4. 【論文整理】Face Related Papers and Code Collection Face Genearation Research
5. 【論文整理】Face Related Papers and Code Collection Face Recognition Pipeline
6. 【論文整理】Face Related Papers and Code Collection Face Verification
7. 【論文整理】Face Related Papers and Code Collection Face Open-set Identification
8. 【論文整理】Face Related Papers and Code Collection face-alignment Research
9. 【論文整理】Face Related Papers and Code Collection Face Alignment Datasets
10. 【論文整理】Face Related Papers and Code Collection Face Closed-set Identification
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1. 【論文整理】Face Related Papers and Code Collection
2. 【論文整理】Face Related Papers and Code Collection Training Loss
3. 【論文整理】Face Related Papers and Code Collection Face Reconstruction Research
4. 【論文整理】Face Related Papers and Code Collection Face Genearation Research
5. 【論文整理】Face Related Papers and Code Collection Face Recognition Pipeline
6. 【論文整理】Face Related Papers and Code Collection Face Verification
7. 【論文整理】Face Related Papers and Code Collection Face Open-set Identification
8. 【論文整理】Face Related Papers and Code Collection face-alignment Research
9. 【論文整理】Face Related Papers and Code Collection Face Alignment Datasets
10. 【論文整理】Face Related Papers and Code Collection Face Closed-set Identification

>>更多相關文章<<