AI RESEARCH
FIKA-Bench: From Fine-grained Recognition to Fine-Grained Knowledge Acquisition
arXiv CS.CV
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ArXi:2605.13193v1 Announce Type: new Fine-grained recognition in everyday life is often not a closed-book classification problem: when encountering unfamiliar objects, humans actively search, compare visual details, and verify evidence before deciding. Existing benchmarks primarily evaluate visually recognition, leaving this active external knowledge acquisition ability underexplored. We study fine-grained knowledge acquisition, where a system must seek, verify, and use external evidence to answer open-ended fine-grained recognition questions. We.