Lightweight remote sensing ship detection algorithm based on YOLOv5s
ObjectiveThis paper proposes a lightweight remote sensing ship target detection algorithm LR-YOLO based on improved YOLOv5s to meet the lightweight and fast inference requirements of ship target detection tasks involving remote sensing images. MethodsFirst, the backbone network adopts the ShuffleNet...
Saved in:
| Main Authors: | Haochen WANG, Yuelan XIN, Jiang GUO, Qingqing WANG |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Editorial Office of Chinese Journal of Ship Research
2024-10-01
|
| Series: | Zhongguo Jianchuan Yanjiu |
| Subjects: | |
| Online Access: | http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03454 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Detection method of potato leaf disease based on YOLOv5s
by: Jingtao Li, et al.
Published: (2024-06-01) -
Parcel Segmentation Method Combined YOLOV5s and Segment Anything Model Using Remote Sensing Image
by: Xiaoqin Wu, et al.
Published: (2025-07-01) -
LWSARDet: A Lightweight SAR Small Ship Target Detection Network Based on a Position–Morphology Matching Mechanism
by: Yuliang Zhao, et al.
Published: (2025-07-01) -
Land Target Detection Algorithm in Remote Sensing Images Based on Deep Learning
by: Wenyi Hu, et al.
Published: (2025-05-01) -
ShadowFPN-YOLO: A Real-Time NMS-Free Detector for Remote Sensing Ship Detection
by: Xiao Yang, et al.
Published: (2025-01-01)