GVCL-YOLO: A Lightweight Small Object Detection Model Integrating Slim-Neck Architecture with CAA Attention

In complex scenarios, small objects in images often suffer from insufficient feature representation due to limited scale and are highly susceptible to background noise interference. Existing YOLOv11n models still exhibit issues with missed and false detections when detecting small objects. To addres...

Täydet tiedot

Bibliografiset tiedot

Päätekijä:	Huang Qingdong, Chen Zihuang, Su Yuhui, Yao Yongqi, Liu Yihua
Aineistotyyppi:	Artigo
Kieli:	Chinês
Julkaistu:	Editorial Office of Aero Weaponry 2025-10-01
Sarja:	Hangkong bingqi
Aiheet:	|object detection|small target|yolov11n|gvcl-yolo|feature fusion|lightweight
Linkit:	https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2025-0070.pdf
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