Unsupervised deep learning of foreground objects from low-rank and sparse dataset.
Keita TakedaTomoya SakaiPublished in: Comput. Vis. Image Underst. (2024)
Keyphrases
- deep learning
- foreground objects
- unsupervised learning
- weakly supervised
- superpixels
- video sequences
- object segmentation
- supervised learning
- machine learning
- low rank and sparse
- moving objects
- semi supervised
- video frames
- object recognition
- low rank
- input image
- natural images
- segmentation method
- model selection
- dimensionality reduction
- prior knowledge
- image sequences
- computer vision