Abstract: A multi-scale statistical non-redundancy modeling approach is introduced for saliency detection in images. The statistical non-redundancy of ...
ABSTRACT. A multi-scale statistical non-redundancy modeling approach is introduced for saliency detection in images. The statisti- cal non-redundancy of ...
A multi-scale statistical non-redundancy modeling approach is introduced for saliency detection in images. The statisti- cal non-redundancy of pixels at ...
A novel algorithm based on statistical non-redundancy is proposed for saliency detection in natural images. By modeling site neighbourhoods as realizations ...
A novel algorithm based on statistical non-redundancy is proposed for saliency detection in natural images that provides improved precision vs. recall ...
(2014). Image saliency detection via multi-scale statistical non-redundancy modeling. 2014 IEEE International Conference on Image Processing (ICIP), 4294-4298.
ABSTRACT. A novel algorithm based on statistical non-redundancy is pro- posed for saliency detection in natural images. By modeling.
Missing: multi- | Show results with:multi-
We propose an effective framework for salient region detection in natural images based on the concept of self-guided statistical non-redundancy (SGNR).
In this paper, we propose a novel saliency prediction model, called RARE2012, which selects information worthy of attention based on multi-scale spatial rarity.
Missing: via non-
We mainly focus on 2D salient object detection in a fully supervised manner. We highlight the scope of this study in gray.