Training YOLO v4 on DOTA dataset-Reference-Cited by-同舟云学术

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Training YOLO v4 on DOTA dataset

Published:2023-01-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI)
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Author:

Hammas Attila¹,Tihamer Brassai Sador¹,Nemeth Andras²,Laszlo Gabor Szabolcs³

Affiliation:

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

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

3. National University of Public Service,Budapest,Hungary

Funder

Innovation Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10044374/10044480/10044493.pdf?arnumber=10044493

Reference29 articles.

1. ECAP-YOLO: Efficient Channel Attention Pyramid YOLO for Small Object Detection in Aerial Image

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

3. NRT-YOLO: Improved YOLOv5 Based on Nested Residual Transformer for Tiny Remote Sensing Object Detection

4. Improved YOLO Network for Free-Angle Remote Sensing Target Detection

5. DOTA: A Large-Scale Dataset for Object Detection in Aerial Images

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