DBnet: A Lightweight Dual-Backbone Target Detection Model Based on Side-Scan Sonar Images
Due to the large number of parameters and high computational complexity of current target detection models, it is challenging to perform fast and accurate target detection in side-scan sonar images under the existing technical conditions, especially in environments with limited computational resourc...
Saved in:
Main Authors: | Quanhong Ma, Shaohua Jin, Gang Bian, Yang Cui, Guoqing Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/13/1/155 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SS-YOLO: A Lightweight Deep Learning Model Focused on Side-Scan Sonar Target Detection
by: Na Yang, et al.
Published: (2025-01-01) -
S<sup>3</sup>DR-Det: A Rotating Target Detection Model for High Aspect Ratio Shipwreck Targets in Side-Scan Sonar Images
by: Quanhong Ma, et al.
Published: (2025-01-01) -
REVES: diferentes formas teóricas e metodológicas de construção do conhecimento
by: Fabrício Roberto Costa Oliveira, et al.
Published: (2023-12-01) -
A Mapping Method Fusing Forward-Looking Sonar and Side-Scan Sonar
by: Hong Liu, et al.
Published: (2025-01-01) -
Side-Scan Sonar Small Objects Detection Based on Improved YOLOv11
by: Chang Zou, et al.
Published: (2025-01-01)