Object Detection of Thangka Image Based on Improved YOLOX-Reference-Cited by-同舟云学术

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Object Detection of Thangka Image Based on Improved YOLOX

Published:2022-12-02 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Frontiers Technology of Information and Computer (ICFTIC)
language:
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Author:

Wang Hongyang¹,Wang Tiejun²,Guo Xiaoran²,Lu Ziling¹

Affiliation:

1. Northwest Minzu University,Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education,Lanzhou,Gansu,China,730000

2. Northwest Minzu University, School of Mathematics and Computer Science,Lanzhou,Gansu,China,730000

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10073966/10075087/10075190.pdf?arnumber=10075190

Reference20 articles.

1. Thanka Mural Inpainting Based on Multi-Scale Adaptive Partial Convolution and Stroke-Like Mask

2. RPTK1: A New Thangka Data Set for Object Detection of Thangka Images

3. Thangka Mural Line Drawing Based on Cross Dense Residual Architecture and Hard Pixel Balancing

4. A Semantic Segmentation Model for Headdresses in Thangka Image Based on Line Drawing Augmentation and Spatial Prior Knowledge

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection of Building Façade Damage Based on Improved YOLOv8;2023 5th International Conference on Frontiers Technology of Information and Computer (ICFTIC);2023-11-17

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