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Instance-level geometric prompting for visual object tracking

delete2026-04-17
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PRE
AI
Q
Qinghua Liu
W
Wanli Xue *
H
Huayu Ma
Y
Yunpeng Li
Y
Yangcan Wu
S
Shengyong Chen
DOI:10.1016/j.patcog.2026.113675delete
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Abstract

Abstract

En 中文
• Instance-level geometric prompts encode target coordinates into template relevance. • A priority-based token selection filters weak patches using spatio-temporal cues. • Joint spatial prompting and token selection reduce background clutter ambiguity. • IGP-tracker achieves strong performance across multiple public benchmarks.
Keywords:
Instance-level geometric prompting
Visual object tracking
Token selection
Spatial prompting
Background clutter reduction

Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

S
Shaanxi Logistics Group
Scholars:
1
Papers: 1
Citations: 0
T
Tianjin Emergency Center
Scholars:
1
Papers: 1
Citations: 0
T
Tianjin University of Technology
Scholars:
8.8K
Papers: 5.9K
Citations: 1.0W
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