Psychophysics may be the game-changer for deep neural networks (DNNs) to imitate the human vision
Article Type
Research Article
Publication Title
Behavioral and Brain Sciences
Abstract
Psychologically faithful deep neural networks (DNNs) could be constructed by training with psychophysics data. Moreover, conventional DNNs are mostly monocular vision based, whereas the human brain relies mainly on binocular vision. DNNs developed as smaller vision agent networks associated with fundamental and less intelligent visual activities, can be combined to simulate more intelligent visual activities done by the biological brain.
DOI
https://10.1017/S0140525X23001759
Publication Date
12-6-2023
Recommended Citation
Chandran, Keerthi S.; Paul, Amrita Mukherjee; Paul, Avijit; and Ghosh, Kuntal, "Psychophysics may be the game-changer for deep neural networks (DNNs) to imitate the human vision" (2023). Journal Articles. 3448.
https://digitalcommons.isical.ac.in/journal-articles/3448