A small underwater object detection model with enhanced feature extraction and fusion
Abstract In the underwater domain, small object detection plays a crucial role in the protection, management, and monitoring of the environment and marine life. Advancements in deep learning have led to the development of many efficient detection techniques. However, the complexity of the underwater...
Saved in:
Main Authors: | Tao Li, Yijin Gang, Sumin Li, Yizi Shang |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-85961-9 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach
by: Mingxin Liu, et al.
Published: (2025-01-01) -
Understanding the Influence of Image Enhancement on Underwater Object Detection: A Quantitative and Qualitative Study
by: Ashraf Saleem, et al.
Published: (2025-01-01) -
AquaYOLO: Enhancing YOLOv8 for Accurate Underwater Object Detection for Sonar Images
by: Yanyang Lu, 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) -
Robust underwater object tracking with image enhancement and two-step feature compression
by: Jiaqing Li, et al.
Published: (2025-01-01)