Gradually target activating and self-supervised enhancing for visual tracking

Yanfang Deng

doi:10.1016/j.knosys.2026.116779

2026-08-03

PRE

DOI：10.1016/j.knosys.2026.116779

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摘要

En 中文

• 设计了非对称混合注意力以激活特征并防止模板污染。• 提出了最大抑制时空融合以增强时序线索学习能力。• 开发了自监督解码器以引导编码器聚焦于目标特征提取。• 提出了GFATrack，有机集成了这些模块以实现鲁棒视觉跟踪。

Keyword:

Target tracking

Feature activation

Spatio-temporal enhancement

期刊

Knowledge-Based Systems

IF:

7.6

论文数:

1.3W

被引数:

4.5W

机构

guangxi normal university

学者数:

1.9K

论文数: 635

被引数: 0

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