Why humans excel at recognizing objects from fragments while AI struggles

why humans excel at re


Why humans excel at recognizing objects from fragments while AI struggles
Human and DNN categorization of (left): a standard RGB image. (Middle): a contour-extracted image. (Right): a fragmented image requiring contour integration. The vast majority of more than 1,000 tested models catastrophically fail at a categorization task the moment object contours are fragmented. Credit: arXiv (2025). DOI: 10.48550/arxiv.2504.05253

A study from EPFL reveals why humans excel at recognizing objects from fragments while AI struggles, highlighting the critical role of contour integration in human vision.

Every day, we effortlessly recognize friends in a crowd or identify…



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