UAUTrack: Towards Unified Multimodal Anti-UAV Visual Tracking

• URL: http://arxiv.org/abs/2512.02668v1
• Date: Tue, 02 Dec 2025 11:47:13 GMT
• Title: UAUTrack: Towards Unified Multimodal Anti-UAV Visual Tracking
• Authors: Qionglin Ren, Dawei Zhang, Chunxu Tian, Dan Zhang,
• Abstract summary: UAUTrack is a unified single-target tracking framework built upon a single-stream, single-stage, end-to-end architecture.<n>Results show that UAUTrack achieves state-of-the-art performance on the Anti-UAV and DUT Anti-UAV datasets.
• Score: 4.161228439649909
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Research in Anti-UAV (Unmanned Aerial Vehicle) tracking has explored various modalities, including RGB, TIR, and RGB-T fusion. However, a unified framework for cross-modal collaboration is still lacking. Existing approaches have primarily focused on independent models for individual tasks, often overlooking the potential for cross-modal information sharing. Furthermore, Anti-UAV tracking techniques are still in their infancy, with current solutions struggling to achieve effective multimodal data fusion. To address these challenges, we propose UAUTrack, a unified single-target tracking framework built upon a single-stream, single-stage, end-to-end architecture that effectively integrates multiple modalities. UAUTrack introduces a key component: a text prior prompt strategy that directs the model to focus on UAVs across various scenarios. Experimental results show that UAUTrack achieves state-of-the-art performance on the Anti-UAV and DUT Anti-UAV datasets, and maintains a favourable trade-off between accuracy and speed on the Anti-UAV410 dataset, demonstrating both high accuracy and practical efficiency across diverse Anti-UAV scenarios.

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