CGTI-Net: Deep-Learning-Based Object Detection Network for High-Resolution Aerial Images-Reference-Cited by-同舟云学术

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CGTI-Net: Deep-Learning-Based Object Detection Network for High-Resolution Aerial Images

Published:2023-11-28 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)
language:
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Author:

Horikawa Yusei¹,Mochizuki Seiji²,Imamura Kousuke³,Matsumura Tetsuya⁴

Affiliation:

1. Graduate School of Engineering and Technology, Nihon University,Fukushima,Japan

2. Osaka Sangyo University,Faculty of Engineering,Osaka,Japan

3. College of Science and Engineering, Kanazawa University,Ishikawa,Japan

4. College of Engineering, Nihon University,Fukushima,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10346030/10346031/10346034.pdf?arnumber=10346034

Reference26 articles.

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

2. SSD: Single Shot MultiBox Detector

3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks;Ren;Advances in Neural Information Processing Systems,2015

4. Clustered Object Detection in Aerial Images

5. Unsupervised Cluster Guided Object Detection in Aerial Images

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