Results at four levels of ISI values were showed for human observers. Three standard computational models (i.e. SALIENCY, GIST, Faster R-CNN built on FPN and ResNet-50 backbones) were also employed for auxiliary investigation.</p
<p> Colored dots correspond to the performance of the 4 computational models tested, black dots to t...
The implementation of computational systems to perform intensive operations often involves balancing...
Performance comparison of CNN models with different region sizes and other baseline models.</p
These results were averaged from four target categories except the sport category due to the special...
Again, two scales are analyzed here: “L”- the largest level, “S”—the smallest level. SALIENCY model ...
Five images with the least recognition rate by human observers are displayed, respectively. The targ...
We demonstrate that human-vision-model-based image quality metrics not only correlate strongly with ...
The predictions of 13 computational bottom-up saliency models and a newly introduced Multiscale Cont...
Mathematic model observers that predict human performance are of interest in medical imaging as su...
International audienceIn this article, we are interested in the computational modeling of visual att...
Recently, large breakthroughs have been observed in saliency modeling. The top scores on saliency be...
(a) Time-varying representational similarity analysis between human MEG data and the computational m...
<p>The methods were evaluated by the independent benchmark dataset obtained by the pSILAC. Sensitivi...
The task-based assessment of image quality using model observers is increasingly used for the assess...
Computational models of attention can be used as a component of decision support systems. For accura...
<p> Colored dots correspond to the performance of the 4 computational models tested, black dots to t...
The implementation of computational systems to perform intensive operations often involves balancing...
Performance comparison of CNN models with different region sizes and other baseline models.</p
These results were averaged from four target categories except the sport category due to the special...
Again, two scales are analyzed here: “L”- the largest level, “S”—the smallest level. SALIENCY model ...
Five images with the least recognition rate by human observers are displayed, respectively. The targ...
We demonstrate that human-vision-model-based image quality metrics not only correlate strongly with ...
The predictions of 13 computational bottom-up saliency models and a newly introduced Multiscale Cont...
Mathematic model observers that predict human performance are of interest in medical imaging as su...
International audienceIn this article, we are interested in the computational modeling of visual att...
Recently, large breakthroughs have been observed in saliency modeling. The top scores on saliency be...
(a) Time-varying representational similarity analysis between human MEG data and the computational m...
<p>The methods were evaluated by the independent benchmark dataset obtained by the pSILAC. Sensitivi...
The task-based assessment of image quality using model observers is increasingly used for the assess...
Computational models of attention can be used as a component of decision support systems. For accura...
<p> Colored dots correspond to the performance of the 4 computational models tested, black dots to t...
The implementation of computational systems to perform intensive operations often involves balancing...
Performance comparison of CNN models with different region sizes and other baseline models.</p