Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models.
Tianzhe ChuShengbang TongTianjiao DingXili DaiBenjamin David HaeffeleRené VidalYi MaPublished in: ICLR (2024)
Keyphrases
- input image
- image data
- image analysis
- single image
- statistical model
- image classification
- random fields
- image content
- probabilistic model
- image features
- image collections
- image segmentation
- low level
- image representation
- multiscale
- high resolution
- image pixels
- parametric models
- similarity measure
- keypoints
- segmentation method
- template matching
- test images
- spatial information
- image regions
- clustering algorithm
- k means
- image retrieval
- hough transform
- image matching
- segmentation algorithm
- unsupervised learning
- bayesian framework
- edge detection
- image structure
- semi supervised
- dissimilarity measure
- object models
- image statistics
- image segmentations