An improved YOLOv8n algorithm for dense pedestrian scenarios
To address the issues of insufficient recognition accuracy and inaccurate detection of traditional algorithms in dense pedestrian scenarios, an improved dense pedestrian detection model based on YOLOv8n is proposed. Firstly, by introducing the SPPELAN module to replace the SPPF module in the backbon...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Chinês |
| Publicado em: |
National Computer System Engineering Research Institute of China
2025-02-01
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| coleção: | Dianzi Jishu Yingyong |
| Assuntos: | |
| Acesso em linha: | http://www.chinaaet.com/article/3000170237 |
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