Cargando…
An Improved YOLOv5-Based Underwater Object-Detection Framework
To date, general-purpose object-detection methods have achieved a great deal. However, challenges such as degraded image quality, complex backgrounds, and the detection of marine organisms at different scales arise when identifying underwater organisms. To solve such problems and further improve the...
Autores principales: | Zhang, Jian, Zhang, Jinshuai, Zhou, Kexin, Zhang, Yonghui, Chen, Hongda, Yan, Xinyue |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099368/ https://www.ncbi.nlm.nih.gov/pubmed/37050753 http://dx.doi.org/10.3390/s23073693 |
Ejemplares similares
-
Object Detection Method for Grasping Robot Based on Improved YOLOv5
por: Song, Qisong, et al.
Publicado: (2021) -
YOLOv5s-Fog: An Improved Model Based on YOLOv5s for Object Detection in Foggy Weather Scenarios
por: Meng, Xianglin, et al.
Publicado: (2023) -
YOLOv5s-CA: A Modified YOLOv5s Network with Coordinate Attention for Underwater Target Detection
por: Wen, Ge, et al.
Publicado: (2023) -
Lightweight aerial image object detection algorithm based on improved YOLOv5s
por: Deng, Lixia, et al.
Publicado: (2023) -
Swin-Transformer-Based YOLOv5 for Small-Object Detection in Remote Sensing Images
por: Cao, Xuan, et al.
Publicado: (2023)