YOLO-Extract: Improved YOLOv5 for Aircraft Object Detection in Remote Sensing Images
Author:
Affiliation:
1. Communication and Network Key Laboratory, Dalian University, Dalian, China
2. College of Engineering Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10005162.pdf?arnumber=10005162
Reference25 articles.
1. Research on Airplane and Ship Detection of Aerial Remote Sensing Images Based on Convolutional Neural Network
2. Res2Net: A New Multi-Scale Backbone Architecture
3. Aircraft Target Detection in Remote Sensing Images Based on Improved YOLOv5
4. Pyramid Scene Parsing Network
5. FE-YOLO: A Feature Enhancement Network for Remote Sensing Target Detection
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