Face Recognition Models
CurricularFace
Introduced by Huang et al. in CurricularFace: Adaptive Curriculum Learning Loss for Deep Face RecognitionCurricularFace, or Adaptive Curriculum Learning, is a method for face recognition that embeds the idea of curriculum learning into the loss function to achieve a new training scheme. This training scheme mainly addresses easy samples in the early training stage and hard ones in the later stage. Specifically, CurricularFace adaptively adjusts the relative importance of easy and hard samples during different training stages.
Source: CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Face Recognition | 2 | 33.33% |
| Face Image Quality | 1 | 16.67% |
| Face Image Quality Assessment | 1 | 16.67% |
| Image Quality Assessment | 1 | 16.67% |
| Face Verification | 1 | 16.67% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
