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    • Study on dougong detection method of mask r-cnn swin with integrated attention mechanism

    • In the field of ancient building protection, researchers built an improved Mask R-CNN arch of wooden architecture recognition model based on deep learning and Transformer architecture, significantly improving the expression ability and direction discrimination ability of arch of wooden architecture structural features, and providing technical support for intelligent identification of ancient building components and digital protection of cultural heritage.
    • Pages: 1-15(2026)   

      Received:22 September 2025

      Revised:2026-01-04

      Accepted:19 January 2026

      Published Online:20 January 2026

    • DOI: 10.11834/jig.250460     

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  • Jin Yuan, Chi Fang’ai, Liu Yingao, Li Yane. Study on dougong detection method of mask r-cnn swin with integrated attention mechanism[J/OL]. Journal of Image and Graphics, 2026, 1-15. DOI: 10.11834/jig.250460.
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相关作者

Song Weitao 北京理工大学光电学院
Liao Lingyu 北京理工大学光电学院
Zhang Haotian 北京理工大学光电学院
Li Lin 合肥工业大学计算机与信息学院
Yu Tianxiu 敦煌研究院,敦煌
Zhao Yongsheng 山东大学考古学院(文化遗产研究院)
Han Peize 北京化工大学生命科学与技术学院
Liu Siran 北京科技大学科技史与文化遗产研究院

相关机构

School of Optics and Photonics, Beijing Institute of Technology
School of Computer Science and Information Engineering,Hefei University of Technology
Dunhuang Academy, Dunhuang
Institute of Cultural Heritage, Shandong University
College of Life Science and Technology, Beijing University of Chemical Technology
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