Variational Laws of Visual Attention for Dynamic Scenes

NeurIPS 2017 Dario ZancaMarco Gori

Computational models of visual attention are at the crossroad of disciplines like cognitive science, computational neuroscience, and computer vision. This paper proposes a model of attentional scanpath that is based on the principle that there are foundational laws that drive the emergence of visual attention... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Saliency Detection CAT2000 EYMOL AUC 0.83 # 1
NSS 1.78 # 1

Methods used in the Paper


METHOD TYPE
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