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Learning to See Like a Child: Why Viewpoint Diversity is Fundamental for Human-Aligned Object Recognition

2026-05-27

Abstract excerpt

Deep convolutional neural networks match human accuracy on standard object recognition tasks but fail to recognize familiar objects from novel view-points. Humans, however, develop viewpoint-invariant recognition at an early age through diverse visual experience. This gap in visual experience may explain why models diverge from humans in object recognition. Holding dataset size constant, we show that greater viewp...

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Literature Corpus work
db620c5b-5e5c-5ed6-ae81-e2b0c9547930
DOI
10.64898/2026.05.27.727784
Open publication

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Learning to See Like a Child: Why Viewpoint Diversity is Fundamental for Human-Aligned Object RecognitionDOI 10.64898/2026.05.27.727784
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