Distribution Distillation Loss: Generic Approach for Improving Face Recognition from Hard Samples.
Yuge HuangPengcheng ShenYing TaiShaoxin LiXiaoming LiuJilin LiFeiyue HuangRongrong JiPublished in: CoRR (2020)
Keyphrases
- face recognition
- data sets
- sample set
- uniformly distributed
- face images
- spatial distribution
- principal component analysis
- domain specific
- human faces
- training set
- recognition rate
- probability density function
- random samples
- sample points
- face recognition systems
- discriminant analysis
- expected loss
- subspace learning
- face verification
- recognition accuracy
- linear discriminant analysis
- training samples
- computer vision