Cargando…
Study on Visual Detection Algorithm of Sea Surface Targets Based on Improved YOLOv3
Countries around the world have paid increasing attention to the issue of marine security, and sea target detection is a key task to ensure marine safety. Therefore, it is of great significance to propose an efficient and accurate sea-surface target detection algorithm. The anchor-setting method of...
Autores principales: | Liu, Tao, Pang, Bo, Ai, Shangmao, Sun, Xiaoqiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766418/ https://www.ncbi.nlm.nih.gov/pubmed/33352867 http://dx.doi.org/10.3390/s20247263 |
Ejemplares similares
-
YOLOv5s-DSD: An Improved Aerial Image Detection Algorithm Based on YOLOv5s
por: Sun, Chaoyue, et al.
Publicado: (2023) -
GRP-YOLOv5: An Improved Bearing Defect Detection Algorithm Based on YOLOv5
por: Zhao, Yue, et al.
Publicado: (2023) -
Strip Surface Defect Detection Algorithm Based on YOLOv5
por: Wang, Han, et al.
Publicado: (2023) -
Online Detection of Surface Defects Based on Improved YOLOV3
por: Chen, Xuechun, et al.
Publicado: (2022) -
Road damage detection algorithm for improved YOLOv5
por: Guo, Gege, et al.
Publicado: (2022)