Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches.
Kalun HoJanis KeuperFranz-Josef PfreundtMargret KeuperPublished in: ICPR (2020)
Keyphrases
- image data
- learning process
- learning algorithm
- clustering algorithm
- multiscale
- image features
- image matching
- image classification
- image pixels
- image representation
- single image
- image analysis
- unsupervised learning
- image retrieval
- image segmentation
- linear predictors
- high resolution
- k means
- input image
- video sequences
- learning tasks
- reinforcement learning
- image processing