Classification of the qilou (arcade building) using a robust image processing framework based on the Faster R-CNN with ResNet50-Reference-Cited by-同舟云学术

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Classification of the qilou (arcade building) using a robust image processing framework based on the Faster R-CNN with ResNet50

Published:2023-07-29 Issue: Volume: Page:1-18
ISSN:1346-7581
Container-title:Journal of Asian Architecture and Building Engineering
language:en
Short-container-title:Journal of Asian Architecture and Building Engineering

Author:

Li Ming Ho¹,Yu Yi²,Wei Hongni³,Chan Ting On¹⁴

Affiliation:

1. School of Geography and Planning, Sun Yat-sen University, Guangzhou, China

2. School of Urban & Regional Science, East China Normal University, Shanghai, China

3. School of Business, Guangdong University of Foreign Studies, Guangzhou, China

4. Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Arts and Humanities (miscellaneous),Building and Construction,Cultural Studies,Architecture,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/13467581.2023.2238038

Reference63 articles.

1. Abed, M. H., M. Al-Asfoor, and Z. M. Hussain. 2020. “Architectural Heritage Images Classification Using Deep Learning with CNN.”

2. Attention-based generative adversarial network with internal damage segmentation using thermography

3. Real-time multiple damage mapping using autonomous UAV and deep faster region-based neural networks for GPS-denied structures

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