Innovative Framework for Historical Architectural Recognition in China: Integrating Swin Transformer and Global Channel–Spatial Attention Mechanism

Innovative Framework for Historical Architectural Recognition in China: Integrating Swin Transformer and Global Channel–Spatial Attention Mechanism

The digital recognition and preservation of historical architectural heritage has become a critical challenge in cultural inheritance and sustainable urban development. While deep learning methods show promise in architectural classification, existing models often struggle to achieve ideal results d...

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Bibliographic Details
Main Authors: Jiade Wu, Yang Ying, Yigao Tan, Zhuliang Liu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Buildings
Subjects:
historical architecture
deep learning
model interpretability
attention mechanism
cultural heritage preservation
Online Access:https://www.mdpi.com/2075-5309/15/2/176
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