AUTOMATIC ARCHITECTURAL STYLE RECOGNITION

17 citations as recorded by crossref.

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9. Detecting surface defects of heritage buildings based on deep learning X. Fu & N. Angkawisittpan https://doi.org/10.1515/jisys-2023-0048
10. Computer Vision-based Analysis of Buildings and Built Environments: A Systematic Review of Current Approaches M. Starzyńska-Grześ et al. https://doi.org/10.1145/3578552
11. Preliminary Application Research on Deep Learning Based on a Topic Focusing on the Identification of Modern Cultural and Educational Architectural Styles in Hunan, China J. Liu et al. https://doi.org/10.3390/buildings16183678
12. A deep learning-based study on visual quality assessment of commercial renovation of Chinese traditional building facades J. Zhao et al. https://doi.org/10.1016/j.eiar.2025.107862
13. A Multilevel Multiresolution Machine Learning Classification Approach: A Generalization Test on Chinese Heritage Architecture K. Zhang et al. https://doi.org/10.3390/heritage5040204
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