Face recognition papers (20200918 updated)
2017
2018
- Discover the effective strategy for face recognition model compression by improved knowledge distillation
- Feature learning for one-shot face recognition
- Knot magnify loss for face recognition
- Learning towards Minimum Hyperspherical Energy
- Ring loss: Convex Feature Normalization for Face Recognition
- Support Vector Guided Softmax Loss for Face Recognition
2019
- A Graph Based Unsupervised Feature Aggregation for Face Recognition
- ArcFace: Additive Angular Magin Loss for Deep Face Recognition
- AirFace: Lightweight and Efficient Model for Face Recognition
- Lightweight Face Recognition Challenge
- Probabilistic Face Embeddings
- Recognizing Multi-Modal Face Spoofing with Face Recognition Networks
- ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks
- Toward Flops-constrained Face Recognition
- VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Recognition
2020
- BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition
- CurricularFace: Adaptive Curriculum Learning Loss for Deep Face recognition
- Domain Balancing: Face Recognition on Long-Tailed Domains
- GroupFace: Learning Latent Groups and Constructing Group-based representations for Face Recognition
- Sub-center ArcFace: Boosting Face Recognition by Large-scale Noisy Web Faces
- Towards Universal Representation Learning for Deep Face Recognition