Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches.
Kalun HoJanis KeuperFranz-Josef PfreundtMargret KeuperPublished in: CoRR (2020)
Keyphrases
- linear predictors
- image analysis
- learning process
- single image
- image data
- image collections
- multiscale
- high resolution
- image features
- k means
- image segmentation
- image content
- unsupervised learning
- learning tasks
- input image
- image regions
- image pixels
- online learning
- dimensionality reduction
- machine learning
- learning algorithm
- segmentation algorithm
- medical images
- segmentation method
- object recognition
- reinforcement learning
- image processing