Abstract: The emergence of vision-language foundation models, such as CLIP, has revolutionized image-text representation, enabling a broad range of applications via prompt learning. Despite its ...
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Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
Abstract: Label shift, which investigates the adaptation of label distributions between the fixed source and target domains, has attracted significant research interests and broad applications in ...
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
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