Article

Exposure to naturalistic occlusion promotes generalized, human-like robustness in deep neural networks

2026-04-27

Abstract excerpt

<h4>ABSTRACT</h4> Human object recognition is robust to challenging conditions, such as when one’s view of an object is fragmented due to an occluding foreground object. In comparison, deep neural networks (DNNs) are typically more susceptible to occlusion, suggesting that human vision relies on distinct mechanisms. Here, we investigated the role of visual diet in the emergence of these mechanisms by asking wheth...

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Literature Corpus work: 4a832c20-5ff5-5661-bff7-766b932e3d64
DOI: 10.64898/2026.04.23.720370

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