Varying and combining loss functions in deep visual saliency prediction models produces significant performance gains on fixed architectures that hold across datasets and networks.
Methods for comparing scanpaths and saliency maps: strengths and weaknesses,
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Deep Saliency Models : The Quest For The Loss Function
Varying and combining loss functions in deep visual saliency prediction models produces significant performance gains on fixed architectures that hold across datasets and networks.