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CLDTracker: A Comprehensive Language Description for visual Tracking

delete2025-06-14
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OA
AI
M
Mohamad Alansari
S
Sajid Javed
I
Iyyakutti Iyappan Ganapathi
S
Sara Alansari
M
Muzammal Naseer
DOI：10.1016/j.inffus.2025.103374delete
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Abstract

Abstract

En 中文
• Introduce comprehensive bag of textual descriptions for VOT tracking. • Provide a comprehensive bag of textual descriptions for six VOT datasets. • Propose TTFUM to update target text features over time. • Fuse visual and textual features using attention-based correlation. • Evaluate CLDTrack on six benchmarks against 38 SOTA trackers.
Keywords:
Multi-modal fusion
Vision–Language Models (VLMs)
Visual Object Tracking (VOT)

Journal

Information Fusion cover
Information Fusion
IF:
15.5
Papers:
4.1K
Citations:
2.7W

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No organization information available