UWV-Yolox: A Deep Learning Model for Underwater Video Object Detection

Underwater video object detection is a challenging task due to the poor quality of underwater videos, including blurriness and low contrast. In recent years, Yolo series models have been widely applied to underwater video object detection. However, these models perform poorly for blurry and low-cont...

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Detalles Bibliográficos
Autores principales: Pan, Haixia, Lan, Jiahua, Wang, Hongqiang, Li, Yanan, Zhang, Meng, Ma, Mojie, Zhang, Dongdong, Zhao, Xiaoran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221615/
https://www.ncbi.nlm.nih.gov/pubmed/37430773
http://dx.doi.org/10.3390/s23104859

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221615/
https://www.ncbi.nlm.nih.gov/pubmed/37430773
http://dx.doi.org/10.3390/s23104859

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