Query-guided predicate decoupling and prototype approximation learning for scene graph generation

Guoqing Zhang

doi:10.1016/j.eswa.2025.129525

2025-08-29

PRE

DOI：10.1016/j.eswa.2025.129525

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摘要

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• 本文从特征解耦和近似学习两个角度解决了长尾分布问题。 • 在特征层面，设计了一种解耦方法以分离实体和谓词表示。 • 利用同类谓词表示的相似性，以缓解分类决策层面的压力。 • 在多个数据集上的实验表明其性能具有竞争力，并有效缓解了预测偏差问题。

期刊

Expert Systems with Applications

IF:

7.5

论文数:

3.0W

被引数:

10.2W

机构

Central South University

学者数:

10.0W

论文数: 7.2W

被引数: 10.9W

henan normal university

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1.1W

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被引数: 6

bejing jiaotong university

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论文数: 4

被引数: 0

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