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

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...

Full description

Bibliographic Details
Main Authors: Haixia Pan, Jiahua Lan, Hongqiang Wang, Yanan Li, Meng Zhang, Mojie Ma, Dongdong Zhang, Xiaoran Zhao
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
underwater video
object detection
coordinate attention
loss function
frame-level optimization
Online Access:https://www.mdpi.com/1424-8220/23/10/4859

Internet

https://www.mdpi.com/1424-8220/23/10/4859

Similar Items