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cs.CV2023
Characterising representation dynamics in recurrent neural networks for object recognition
Sushrut Thorat, Adrien Doerig, Tim C. Kietzmann
Recurrent neural networks (RNNs) have yielded promising results for both recognizing objects in challenging conditions and modeling aspects of primate vision. However, the represen…
cs.CV2021
Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization
Sushrut Thorat, Giacomo Aldegheri, Tim C. Kietzmann
Recurrent neural networks (RNNs) have been shown to perform better than feedforward architectures in visual object categorization tasks, especially in challenging conditions such a…