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GitHub / MemoonaTahira / Visual-Saliency-Metrics-for-Evaluating-Deep-Learning-Model-performance

This code allows you to calculate 5 of the most popular saliency metrics AUC-Judd, KLdiv, NSS, CC and Sim to determine how well a deep learning model predicts visual saliency

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MemoonaTahira%2FVisual-Saliency-Metrics-for-Evaluating-Deep-Learning-Model-performance

Stars: 2
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 3.05 MB
Dependencies parsed at: Pending

Created at: over 4 years ago
Updated at: about 2 years ago
Pushed at: over 2 years ago
Last synced at: almost 2 years ago

Topics: deep-learning, eyetracking, visual-saliency

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