Improving Face Recognition by Clustering Unlabeled Faces in the Wild.
Aruni RoyChowdhuryXiang YuKihyuk SohnErik G. Learned-MillerManmohan ChandrakerPublished in: ECCV (24) (2020)
Keyphrases
- face recognition
- face images
- human faces
- unsupervised learning
- face recognition systems
- face identification
- clustering algorithm
- data points
- clustering method
- k means
- recognizing faces
- face verification
- recognition rate
- discriminant analysis
- face detection
- face databases
- recognize faces
- face analysis
- self organizing maps
- feature extraction
- linear discriminant analysis
- categorical data
- data clustering
- face matching
- sparse representation
- principal component analysis
- computer vision
- training data
- pose variations
- hierarchical clustering
- recognition accuracy
- active learning
- training set
- spectral clustering
- face recognition algorithms
- facial features
- cluster analysis
- class labels