Comparation of Rotational Deep Learning based Methods-Reference-Cited by-同舟云学术

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Comparation of Rotational Deep Learning based Methods

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:2023 24th International Carpathian Control Conference (ICCC)
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Author:

Brassai Sándor Tihamér¹,Németh András²,Hammas Attila³,Sagyebó István Dávid⁴

Affiliation:

1. Sapientia Hungarian University of Transylvania,Department of Electrical Engineerin,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,Budapest,Hungary

Funder

Innovation Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10178879/10178882/10178922.pdf?arnumber=10178922

Reference18 articles.

1. YOLO9000: Better, Faster, Stronger

2. You Only Look Once: Unified, Real-Time Object Detection

3. Fcosr: A simple anchor-free rotated detector for aerial object detection;li,2021

4. FCOS: Fully Convolutional One-Stage Object Detection

5. Align deep features for oriented object detection;han;IEEE Transactions on Geoscience and Remote Sensing,2021

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