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...
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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Chinês |
| Publicado em: |
Editorial Office of Aero Weaponry
2025-10-01
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| coleção: | Hangkong bingqi |
| Assuntos: | |
| Acesso em linha: | https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2025-0070.pdf |
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