Article

Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations

2020-06-17

Abstract excerpt

Current state-of-the-art object recognition models are largely based on convolutional neural network (CNN) architectures, which are loosely inspired by the primate visual system. However, these CNNs can be fooled by imperceptibly small, explicitly crafted perturbations, and struggle to recognize objects in corrupted images that are easily recognized by humans. Here, by making comparisons with primate neural data,...

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Literature Corpus work: 9d71fb4d-5410-5749-a404-12c822ac132d
DOI: 10.1101/2020.06.16.154542

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