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Gaze-DETR uses priority maps for infrared UAV detection

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Gaze-DETR, a novel approach for detecting small, weak targets in infrared imagery, particularly for Unmanned Aerial Vehicles (UAVs). This method incorporates a bio-inspired internal priority map to guide the detection process before localization, addressing challenges like clutter and occlusion. Gaze-DETR utilizes a priority head to predict this map, enhances high-priority features with Residual Priority-Guided Feature Modulation (RPFM), and injects these priorities into decoder queries via Priority-Guided Anchor Query Injection (PAQI). The system demonstrates strong performance on new datasets like TIR-UAV120-Gaze and Anti-UAV410, showing that explicit spatial-priority learning complements traditional bounding-box supervision. AI

IMPACT Introduces a novel detection method for infrared imagery, potentially improving autonomous systems' ability to identify small targets.

RANK_REASON The cluster contains a research paper detailing a new model and dataset for computer vision. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Gaze-DETR uses priority maps for infrared UAV detection

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The cluster contains a research paper detailing a new model and dataset for computer vision. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Nian Liu, Yuxin Yang, Shubo Lin, Sikui Zhang, Liang Li, Boyu Cai, Yizheng Wang, Weiming Hu, Jin Gao ·

    Gaze-DETR: Top-Down Guidance Through Priority Maps for Infrared Weak-Small UAV Detection with DETR

    arXiv:2607.19040v1 Announce Type: new Abstract: Infrared small target detection (ISTD) remains challenging because tiny, low-contrast targets are easily overwhelmed by clutter, noise, or occlusion. Conventional single-frame and multi-frame detectors rely on bounding-box supervisi…

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