Improving Face Recognition from Hard Samples via Distribution Distillation Loss.
Yuge HuangPengcheng ShenYing TaiShaoxin LiXiaoming LiuJilin LiFeiyue HuangRongrong JiPublished in: ECCV (30) (2020)
Keyphrases
- face recognition
- sample set
- recognition rate
- data sets
- probability distribution
- random variables
- computer vision
- face detection
- data distribution
- discriminant analysis
- random samples
- person identification
- power law
- uniformly distributed
- recognition accuracy
- human faces
- training samples
- training set
- bayesian networks
- machine learning