Exploring the Limits of Deep Image Clustering using Pretrained Models.
Nikolas AdaloglouFelix MichelsHamza KalischMarkus KollmannPublished in: CoRR (2023)
Keyphrases
- image features
- image data
- random fields
- image classification
- input image
- image pixels
- single image
- template matching
- multiscale
- image retrieval
- low level
- image content
- image representation
- bayesian framework
- edge detection
- image analysis
- computer vision
- image segmentation
- clustering method
- spatial information
- image collections
- pixel values
- similar objects
- image statistics
- test images
- clustering algorithm
- segmentation method
- color images
- image regions
- region of interest
- feature points
- probabilistic model
- k means
- object recognition
- dissimilarity measure
- similarity measure
- image sequences
- image segmentations