Semi-seg: Semi-supervised learning framework for image segmentation

Adrián Inés

doi:10.1016/j.neucom.2025.132266

2025-12-10

PRE

Adrián Inés *

Jónathan Heras

DOI：10.1016/j.neucom.2025.132266

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摘要

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• 提出了一种训练语义分割模型的自动方法，该方法结合了迁移学习和基于数据与模型蒸馏概念的半监督学习。 • 对我们的半监督学习方法在处理标注图像稀少的数据集时的优势进行了研究。 • Semi-Seg是一个开源API，允许用户从少量标注图像轻松构建语义分割模型。

期刊

Neurocomputing

IF:

6.5

论文数:

2.5W

被引数:

6.5W

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