Self-Supervised Learning for Large-Scale Unsupervised Image Clustering.
Evgenii ZheltonozhskiiChaim BaskinAlex M. BronsteinAvi MendelsonPublished in: CoRR (2020)
Keyphrases
- unsupervised learning
- input image
- image data
- unsupervised manner
- supervised learning
- image segmentation
- information bottleneck
- weakly supervised
- learning process
- learning algorithm
- image features
- low level
- high resolution
- k means
- image analysis
- edge detection
- template matching
- online learning
- test images
- learning tasks
- machine learning
- unlabeled images
- image classification
- multiscale
- similarity measure
- single image
- segmentation method
- image regions
- spatial information
- information theoretic
- segmentation algorithm
- prior knowledge
- data clustering
- image retrieval
- similar objects
- clustering algorithm