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Research questionHow should visual-learning studies disclose human supervision embedded in data curation and training objectives?Visual-learning methods called unsupervised can rely on human choices about which data are collected or filtered and how training objectives are defined. When these priors remain implicit, results from methods with different supervision assumptions are difficult to compare.
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Latest papersRecent research connected to this question, newest first.Position: Unlabeled IS NOT Equal to No Human Supervision in Visual LearningThe source is a position paper about conceptual clarity in visual learning. It advocates disclosing priors in data selection and learning objectives but does not supply or empirically validate a specific standardized disclosure scheme.research paper · Sep 2, 2026
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