Exploring the Limits of Deep Image Clustering using Pretrained Models.
Nikolas AdaloglouFelix MichelsHamza KalischMarkus KollmannPublished in: BMVC (2023)
Keyphrases
- bayesian framework
- random fields
- single image
- multiscale
- input image
- image content
- image segmentation
- image representation
- image classification
- image data
- template matching
- image analysis
- test images
- region of interest
- clustering algorithm
- parametric models
- clustering method
- image features
- visual effects
- image retrieval
- lighting conditions
- high resolution
- image segmentations
- image statistics
- similar objects
- similarity measure
- image collections
- low level
- probabilistic model
- hough transform
- image regions
- segmentation method
- model selection
- spatial information
- image set
- feature space
- edge detection
- segmentation algorithm