【論文整理】Face Related Papers and Code Collection Training sets
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
相關文章
- 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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相關文章
- 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