Papers/2609.03077
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Position: Unlabeled IS NOT Equal to No Human Supervision in Visual Learning

unsupervised learningdata curationhuman supervision
2609.03077
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1h ago

Abstract

The paper argues that unlabeled data can still involve human supervision and calls for clearer identification of supervision sources in visual learning.

Reality Card

Core Claim

The paper asserts that the term 'unsupervised' fails to capture the nuances of human supervision embedded in different data curation schemes and training objectives.

Method / Result

The paper highlights a decline in papers titled 'unsupervised' in flagship conferences since 2021, despite growth in the field.

Limitations

The ambiguity in the term 'unsupervised' complicates comparisons across different research efforts, potentially hindering reproducibility.

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