Unsupervised regions based segmentation using object discovery ?
A fully unsupervised foreground object discovery scheme is proposed. A tree-constrained iterative algorithm achieves high accuracy for segmentation. Color-based FG model works well on objects with complicated fine structures.
regions based segmentation object discovery cosegmentation saliency maximal spanning tree structural constraint combinatorial optimization