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YOLO12-MambaScan enhances aerial object detection with Mamba and high-frequency modules

By PulseAugur Editorial · [2 sources] ·

Researchers have developed YOLO12-MambaScan, a new object detection model designed for aerial imagery. This model enhances the YOLO12 architecture by incorporating a triple-path high-frequency enhancement convolution module and a Mamba-based global-context module. It aims to improve the detection of small objects in cluttered scenes by better utilizing edge, corner, and texture information. The model achieved strong performance on the VisDrone dataset, demonstrating an effective balance between accuracy and efficiency. AI

IMPACT This model's architecture could inform future developments in efficient object detection for specialized domains like aerial surveillance.

RANK_REASON The cluster describes a new academic paper detailing a novel model architecture for object detection.

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

YOLO12-MambaScan enhances aerial object detection with Mamba and high-frequency modules

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COVERAGE [2]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Hao Wang ·

    YOLO12-MambaScan: An Efficient Object Detector with High-Frequency Enhancement and State-Space Modeling

    The rapid development of unmanned aerial vehicle (UAV) technology has made aerial-image object detection increasingly important for natural-resource monitoring, traffic management, and disaster response. Detecting small objects in aerial images remains difficult because objects o…

  2. arXiv cs.CV TIER_1 English(EN) · Hao Wang ·

    YOLO12-MambaScan: An Efficient Object Detector with High-Frequency Enhancement and State-Space Modeling

    arXiv:2609.13647v1 Announce Type: new Abstract: The rapid development of unmanned aerial vehicle (UAV) technology has made aerial-image object detection increasingly important for natural-resource monitoring, traffic management, and disaster response. Detecting small objects in a…

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