YOLO-G: A Lightweight Network Model for Improving the Performance of Military Targets Detection
Author:
Affiliation:
1. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
2. China North Vehicle Research Institute, Beijing, China
Funder
Defense Industrial Technology Development Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09780377.pdf?arnumber=9780377
Reference51 articles.
1. A multispectral feature fusion network for robust pedestrian detection
2. Focal Loss for Dense Object Detection
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4. UAV-YOLO: Small Object Detection on Unmanned Aerial Vehicle Perspective
5. YOLO-Tomato: A Robust Algorithm for Tomato Detection Based on YOLOv3
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