YOLO-SAIL: Attention-Enhanced YOLOv5 With Optimized Bi-FPN for Ship Target Detection in SAR Images

YOLO-SAIL: Attention-Enhanced YOLOv5 With Optimized Bi-FPN for Ship Target Detection in SAR Images

<p dir="ltr">Synthetic Aperture Radar (SAR) is useful for monitoring sea surfaces and detecting targets on ships. However, interpreting SAR images can be challenging due to the high density of ships, an imbalanced foreground-to-background ratio, and the small size of targets. It has...

Full description

Saved in:
Bibliographic Details
Main Author: Prabu Selvam (22330264) (author)
Other Authors: P. Shanmuga Sundari (22330267) (author), M. Tamilselvi (22330270) (author), T. Suresh (22330273) (author), M. Murugappan (18842221) (author), Muhammad E. H. Chowdhury (14150526) (author)
Published: 2025
Subjects:
Information and computing sciences
Computer vision and multimedia computation
Machine learning
Attention mechanisms
deep learning
object detection
synthetic aperture radar
YOLO
Marine vehicles
Radar polarimetry
Feature extraction
Transformers
Detectors
Synthetic aperture radar
Object recognition
Semantics
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items