SF-YOLOv5: A Lightweight Small Object Detection Algorithm Based on Improved Feature Fusion Mode

In the research of computer vision, a very challenging problem is the detection of small objects. The existing detection algorithms often focus on detecting full-scale objects, without making proprietary optimization for detecting small-size objects. For small objects dense scenes, not only the accu...

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Detalles Bibliográficos
Autores principales: Liu, Haiying, Sun, Fengqian, Gu, Jason, Deng, Lixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371183/
https://www.ncbi.nlm.nih.gov/pubmed/35957375
http://dx.doi.org/10.3390/s22155817

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371183/
https://www.ncbi.nlm.nih.gov/pubmed/35957375
http://dx.doi.org/10.3390/s22155817

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