AI RESEARCH
A Framework for Generating Semantically Ambiguous Images to Probe Human and Machine Perception
arXiv CS.CV
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ArXi:2603.24730v1 Announce Type: new The classic duck-rabbit illusion reveals that when visual evidence is ambiguous, the human brain must decide what it sees. But where exactly do human observers draw the line between ''duck'' and ''rabbit'', and do machine classifiers draw it in the same place? We use semantically ambiguous images as interpretability probes to expose how vision models represent the boundaries between concepts.