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Position: Unlabeled IS NOT Equal to No Human Supervision in Visual Learning
unsupervised learningdata curationhuman supervision
2609.03077
Builder Relevance
1h ago70%
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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