Improving Machine Vision Using Human Perceptual Representations: The Case of Planar Reflection Symmetry for Object Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence(2022)
摘要
Achieving human-like visual abilities is a holy grail for machine vision, yet precisely how insights from human vision can improve machines has remained unclear. Here, we demonstrate two key conceptual advances: First, we show that most machine vision models are systematically different from human object perception. To do so, we collected a large dataset of perceptual distances between isolated ob...
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关键词
Systematics,Machine vision,Visualization,Computational modeling,Task analysis,Search problems,Prediction algorithms
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