Deep Clustering for Unsupervised Learning of Visual Features.
Mathilde CaronPiotr BojanowskiArmand JoulinMatthijs DouzePublished in: ECCV (14) (2018)
Keyphrases
- visual features
- unsupervised learning
- image classification
- visual information
- visual content
- probabilistic latent semantic analysis
- deep architectures
- image retrieval
- low level features
- supervised learning
- image search
- low level
- keywords
- visual appearance
- image annotation
- semi supervised
- feature selection
- semantic gap
- semantic concepts
- expectation maximization
- machine learning
- low level visual features
- bag of features
- image collections
- clustering algorithm
- global features
- text classification
- dimensionality reduction
- visual similarity
- document clustering
- similarity measure
- image representation
- object recognition
- active learning
- k means