ProFeat: Unsupervised image clustering via progressive feature refinement.
Jeonghoon KimSunghoon ImSunghyun ChoPublished in: Pattern Recognit. Lett. (2022)
Keyphrases
- image features
- image data
- unsupervised learning
- input image
- image pixels
- image analysis
- image content
- image representation
- template matching
- multiscale
- supervised classification
- keypoints
- image classification
- image segmentation
- low level
- image retrieval
- object recognition
- single image
- hough transform
- region of interest
- supervised learning
- feature points
- image collections
- spectral clustering
- similarity graph
- feature representation
- feature detectors
- unsupervised manner
- test images
- unsupervised classification
- spatial information
- image regions
- segmentation algorithm
- edge detection
- image database
- similarity measure
- image matching
- data clustering
- semi supervised
- high resolution
- similar objects
- feature extraction
- clustering algorithm
- unsupervised feature selection
- information bottleneck
- computer vision