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Position: Unlabeled IS NOT Equal to No Human Supervision in Visual Learning

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.03077v1 Announce Type: new Abstract: This position paper argues that the absence of labels does not imply the absence of human supervision in visual learning, and urges the research community to identify sources of supervision more explicitly. Many recent methods in computer vision build…

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  1. 2026-09-04 04:00 · arXiv cs.CV
    Position: Unlabeled IS NOT Equal to No Human Supervision in Visual Learning

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