Research of Maritime Object Detection Method in Foggy Environment Based on Improved Model SRC-YOLO

Research of Maritime Object Detection Method in Foggy Environment Based on Improved Model SRC-YOLO

An improved maritime object detection algorithm, SRC-YOLO, based on the YOLOv4-tiny, is proposed in the foggy environment to address the issues of false detection, missed detection, and low detection accuracy in complicated situations. To confirm the model’s validity, an ocean dataset containing var...

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Bibliographic Details
Main Authors: Yihong Zhang, Hang Ge, Qin Lin, Ming Zhang, Qiantao Sun
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
YOLOv4-tiny
object detection
receptive field block
convolutional block attention module
Online Access:https://www.mdpi.com/1424-8220/22/20/7786

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