SID4VAM - A Benchmark Dataset With Synthetic Images for Visual Attention Modeling

Xosé Ramón Fernández-Vidal
Xosé Ramón Fernández-Vidal
Xavier Otazu
Xavier Otazu

ICCV, pp. 8788-8797, 2019.

Cited by: 3|Bibtex|Views0|Links
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Abstract:

A benchmark of saliency models performance with a synthetic image dataset is provided. Model performance is evaluated through saliency metrics as well as the influence of model inspiration and consistency with human psychophysics. SID4VAM is composed of 230 synthetic images, with known salient regions. Images were generated with 15 dist...More

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