TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering.
Wei LinAnna KuklevaHorst PosseggerHilde KuehneHorst BischofPublished in: CVWW (2023)
Keyphrases
- agglomerative clustering
- unsupervised learning
- temporal segmentation
- unsupervised clustering
- clustering algorithm
- normalized cut
- k means
- segmentation algorithm
- unsupervised manner
- information bottleneck
- image segmentations
- unsupervised classification
- level set
- medical images
- text segmentation
- supervised classification
- unsupervised feature selection
- bayesian information criterion
- spectral clustering
- shape prior
- image segmentation
- temporal reasoning
- multidimensional scaling
- fully unsupervised
- temporal consistency
- temporal information
- clustering method
- segmentation of natural images
- data clustering
- hierarchical clustering
- spatial and temporal
- information theoretic
- temporal constraints
- cluster validation
- completely unsupervised
- spatio temporal
- segmentation of textured images
- bayesian image segmentation
- video sequences
- region growing
- temporal data
- self organizing maps
- segmentation method
- energy function
- supervised learning
- data points
- multiscale
- human actions
- vector space
- space time
- semi supervised
- high dimensional
- pairwise
- web people search
- word sense induction