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一种单阶段弱监督语义分割方法

InventionUnknown
8Claims · 1 independent
§ Ⅰ

Dossier Overview

Applicant

青岛大学

青岛大学 · View all patentsPatent applicant records

Inventor

张佳华; 鲁延双; 孔德龙

Filing Date

Jul 9, 2026

Publication Date

Oct 27, 2026

IPC Classification

G06V 10/26 (2022.01)G06V 10/44 (2022.01)G06V 10/42 (2022.01)G06V 10/764 (2022.01)G06V 10/80 (2022.01)G06V 10/82 (2022.01)G06V 10/98 (2022.01)G06N 3/0455 (2023.01)G06N 3/0464 (2023.01)G06N 3/0895 (2023.01)

本发明属于计算机视觉与图像处理领域，具体涉及一种单阶段弱监督语义分割方法，基于自适应特征交互与动态可靠学习，充分利用多视图特征交互、动态评估伪标签监督可靠性，实现对复杂背景下目标轮廓的精确刻画，弥合伪标签质量与最终分割性能之间的鸿沟，增强目标边界定位的精度与最终语义分割的视觉表现效果，解决了现有技术在单阶段框架下伪标签质量与最终分割性能不匹配、且误差易集中于目标边界区域的问题。

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