Completely weakly supervised class-incremental learning for semantic segmentation

doi:10.1016/j.patrec.2025.05.004

2025-05-28

PRE

David Minkwan Kim

Soeun Lee

Byeongkeun Kang

DOI：10.1016/j.patrec.2025.05.004

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摘要

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• 我们提出了第一种弱监督的类增量分割方法。 • 它仅使用图像级标签来训练用于基类和新类的网络。 • 我们使用定位器和基础模型生成伪标签。 • 我们提出了一种基于样本的数据增强方法。

期刊

Pattern Recognition Letters

IF:

3.3

论文数:

7.9K

被引数:

1.6W

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