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Dynamic-budget superpixel active learning for semantic segmentation

IntroductionActive learning can significantly decrease the labeling cost of deep learning workflows by prioritizing the limited labeling budget to high-impact data points that have the highest positive impact on model accuracy. Active learning is especially useful for semantic segmentation tasks whe...

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Auteurs principaux: Yuemin Wang, Ian Stavness
Format: Artigo
Langue:Inglês
Publié: Frontiers Media S.A. 2025-01-01
Collection:Frontiers in Artificial Intelligence
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Accès en ligne:https://www.frontiersin.org/articles/10.3389/frai.2024.1498956/full
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