Deep learning based object detection for agricultural machinery-Reference-Cited by-同舟云学术

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Deep learning based object detection for agricultural machinery

Published:2022-11-21 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 22nd International Symposium on Computational Intelligence and Informatics and 8th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo)
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Author:

Brassai Sandor Tihamer¹,NEMeth Andras²,Hammas Attila³,GABor Szabolcs Laszlo⁴

Affiliation:

1. Sapientia Hungarian University of Transylvania,Department of Electrical Engineering,Corunca,Romania

2. National University of Public Service,Department of Electronic Warfare,Budapest,Hungary

3. Sapientia Hungarian University of Transylvania,Intelligent Control Systems,Corunca,Romania

4. National University of Public Service,Ph.D. in Military Engineering,Budapest,Hungary

Funder

Innovation Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10029344/10029402/10029518.pdf?arnumber=10029518

Reference23 articles.

1. Comparison of YOLO Versions for Object Detection from Aerial Images;muhammed enes;International Journal,2022

2. Drone Detection and Classification using Deep Learning

3. Ship Rotated Bounding Box Space for Ship Extraction From High-Resolution Optical Satellite Images With Complex Backgrounds

4. Small object detection in aerial view based on improved YoloV3 neural network

5. Improved YOLOv4 for Aerial Object Detection

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