… we use to measure how well a saliency map predicts fixation locations on a given image. … ,
ie, if the graph-based activation step is concatenated with the graph-based normalization step, …

… Graph-based Models Graph-based approaches have gained great … the graph based
visual saliency (GBVS), a graph-based saliency model with multiple features to extract saliency …

… cognitive as well as the classical vision aspects (using graph based approach), for finding the
… It is basically graph based visual saliency model (GBVS) influenced by bottom-up saliency …

… Based on the attention theories of early works for visual saliency [17], we use the nodes on
the image boundary as background seeds, ie, the labelled data (query samples) to rank the …

… of visual saliency are explicitly modeled in these classical graph-based optimization frameworks…
Based on this observation, we model one popular visual saliency property (visual rarity) …

… In this study, evidence of emotional salience associated with visual saliency model is explored.
A bottom-up saliency model Graph-Based Visual Saliency (GBVS) was used in the study …

… visual saliency is a topic of recent interest. Here, we propose a graph-based method for saliency
… stages: pre-processing, initial saliency detection, and final saliency detection. The initial …

… We now do graph-based visual saliency and then ensemble the single CNN architectures
of Section 4.1.1 using the methods of Section 2.5. First, we combine the single CNN …

… In Section 4, we briefly introduce the meaning and the use of the Graph Based Visual Saliency.
Section 5 elaborates the proposed method while in Section 6 both the experimental and …

… algorithm based on a visual saliency model. First, an SAR-oriented graph-based visual
saliency model is introduced. Second, relying on the ability of our saliency model in highlighting …