{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:42:09Z","timestamp":1760060529525,"version":"build-2065373602"},"reference-count":28,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T00:00:00Z","timestamp":1757289600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Scientific Research Project for Higher Education Institutions of Guizhou Provincial Department of Education (Youth Project)","award":["QJJ [2022]294","ZK [2024]526","Gyxk202505"],"award-info":[{"award-number":["QJJ [2022]294","ZK [2024]526","Gyxk202505"]}]},{"name":"Natural Science Foundation of Guizhou Province","award":["QJJ [2022]294","ZK [2024]526","Gyxk202505"],"award-info":[{"award-number":["QJJ [2022]294","ZK [2024]526","Gyxk202505"]}]},{"name":"Guiyang University Multidisciplinary Team Construction Projects","award":["QJJ [2022]294","ZK [2024]526","Gyxk202505"],"award-info":[{"award-number":["QJJ [2022]294","ZK [2024]526","Gyxk202505"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Ethnic minority embroidery from Guizhou is an important part of Chinese culture, reflecting the history, beliefs, and artistic traditions of the region\u2019s diverse ethnic groups. However, challenges in automatic recognition arise due to data scarcity, complex textures, and the flexibility of handmade designs. This study constructs the Guizhou Province Intangible Cultural Heritage Embroidery dataset and proposes an improved MobileViT-DDC model to address the issues of complex textures and data scarcity. The model integrates Dilatefomer, Deformable Dilatefomer (DefDilatefomer), and Context Broadcasting Module (CBM) to capture local details and global information in embroidery patterns. Experimental results show that the MobileViT-DDC model achieves an accuracy of 98.40% on the Guizhou embroidery dataset (a 2.17% improvement over the original baseline model) with a 14% reduction in computational load; on the Pakistani National Dress Dataset, it reaches an accuracy of 79.07%, representing a 2.63% increase compared to the original baseline model of the same scale. This study is the first to apply a CNN-ViT hybrid model to ethnic embroidery recognition, providing a new solution for the digital preservation of cultural heritage. The model\u2019s cross-cultural adaptability was further validated through its application to the Pakistani National Dress dataset.<\/jats:p>","DOI":"10.3390\/sym17091485","type":"journal-article","created":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T10:29:07Z","timestamp":1757327347000},"page":"1485","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Enhanced MobileViT with Dilated and Deformable Attention and Context Broadcasting Module for Intangible Cultural Heritage Embroidery Recognition"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8636-6500","authenticated-orcid":false,"given":"Hui","family":"Jin","sequence":"first","affiliation":[{"name":"College of Computer Science, Guiyang University, Guiyang 550005, China"}]},{"given":"Zhide","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer Science, Guiyang University, Guiyang 550005, China"}]},{"given":"Ruchao","family":"Tong","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Guizhou Police College, Guiyang 550005, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6431-6325","authenticated-orcid":false,"given":"Tao","family":"Song","sequence":"additional","affiliation":[{"name":"College of Computer Science, Guiyang University, Guiyang 550005, China"}]}],"member":"1968","published-online":{"date-parts":[[2025,9,8]]},"reference":[{"key":"ref_1","unstructured":"Lu, T.L.D. (2016). The management of intangible cultural heritage in China. The Routledge Companion to Intangible Cultural Heritage, Routledge."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Yan, W.J., and Chiou, S.C. (2021). The safeguarding of intangible cultural heritage from the perspective of civic participation: The informal education of Chinese embroidery handicrafts. Sustainability, 13.","DOI":"10.3390\/su13094958"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"He, X., and Li, S. (2022, January 24\u201326). Predicaments and Solutions for Minority Handicrafts Industrialization in Southwest of China. Proceedings of the 2022 International Conference on County Economic Development, Rural Revitalization and Social Sciences (ICCRS 2022), Nanjing, China.","DOI":"10.2991\/aebmr.k.220402.024"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1108\/RJTA-15-01-2011-B006","article-title":"Similarities of Miao Embroidery and Ancient Chinese Embroidery and Their Cultural Implications","volume":"15","author":"Torimaru","year":"2011","journal-title":"Res. J. Text. Appar."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Yu, X. (2018, January 29\u201330). An Overview of the Development of Chinese Embroidery Patterns in the Past Dynasties. Proceedings of the 2018 International Conference on Sports, Arts, Education and Management Engineering (SAEME 2018), Taiyuan, China.","DOI":"10.2991\/saeme-18.2018.72"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"5334","DOI":"10.1109\/TVCG.2024.3447351","article-title":"Msembgan: Multi-stitch embroidery synthesis via region-aware texture generation","volume":"31","author":"Hu","year":"2024","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1186\/s40494-024-01317-y","article-title":"Protection of Guizhou Miao Batik Culture Based on Knowledge Graph and Deep Learning","volume":"12","author":"Quan","year":"2024","journal-title":"Herit. Sci."},{"key":"ref_8","unstructured":"Rousseau, D., and Tsaftaris, S. (2019, January 12\u201317). Data Augmentation Techniques for Deep Learning. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), in Tutorial Session, Brighton, UK."},{"key":"ref_9","first-page":"84","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"Krizhevsky","year":"2012","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"198","DOI":"10.2478\/aut-2020-0063","article-title":"Identification of Miao Embroidery in Southeast Guizhou Province of China Based on Convolution Neural Network","volume":"21","author":"Zhang","year":"2021","journal-title":"Autex Res. J."},{"key":"ref_11","first-page":"338","article-title":"Classification model for Chinese traditional embroidery based on Xception-TD","volume":"6","author":"Zhou","year":"2022","journal-title":"Data Anal. Knowl. Discov."},{"key":"ref_12","unstructured":"Zhu, C., Bai, X., Zhu, J., and Huang, W. (2025, July 22). Research on Image Recognition of Nantong Shen Embroidery Intangible Cultural Heritage Based on Improved MobileNetV3; Preprint (Version 1) Available at Research Square; Preprint. Available online: https:\/\/www.researchsquare.com\/article\/rs-5300929\/v1."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Zhu, J., and Zhu, C. (2024). Research on the innovative application of Shen Embroidery cultural heritage based on convolutional neural network. Sci. Rep., 14.","DOI":"10.1038\/s41598-024-60121-7"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"e70108","DOI":"10.1049\/ipr2.70108","article-title":"Automatic Classification and Recognition of Qinghai Embroidery Images Based on the SE-ResNet152V2 Model","volume":"19","author":"Zhao","year":"2025","journal-title":"IET Image Process."},{"key":"ref_15","unstructured":"Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., and Gelly, S. (2020). An image is worth 16 \u00d7 16 words: Transformers for image recognition at scale. arXiv."},{"key":"ref_16","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141., and Polosukhin, I. (2017, January 4\u20139). Attention is All You Need. Proceedings of the 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA."},{"key":"ref_17","unstructured":"Touvron, H., Cord, M., Douze, M., Massa, F., Sablayrolles, A., and Jegou, H. (2021, January 18\u201324). Training Data-Efficient Image Transformers & Distillation Through Attention. Proceedings of the International Conference on Machine Learning (PMLR), Virtual."},{"key":"ref_18","unstructured":"Naseer, M., Ranasinghe, K., Khan, S., Hayat, M., Khan, F.S., and Yang, M.-H. (2021, January 6\u201314). Intriguing Properties of Vision Transformers. Proceedings of the Advances in Neural Information Processing Systems, Red Hook, NY, USA."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., Lin, S., and Guo, B. (2021, January 10\u201317). Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows. Proceedings of the IEEE\/CVF International Conference on Computer Vision 2021, Montreal, QC, Canada.","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Chen, Y., Dai, X., Chen, D., Liu, M., Dong, X., Yuan, L., and Liu, Z. (2022, January 18\u201324). Mobile-Former: Bridging Mobilenet and Transformer. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, LA, USA.","DOI":"10.1109\/CVPR52688.2022.00520"},{"key":"ref_21","unstructured":"Mehta, S., and Rastegari, M. (2021). Mobilevit: Light-weight, general-purpose, and mobile-friendly vision transformer. arXiv."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"8906","DOI":"10.1109\/TMM.2023.3243616","article-title":"DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition","volume":"25","author":"Jiao","year":"2023","journal-title":"IEEE Trans. Multimed."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Dai, J., Qi, H., Xiong, Y., Li, Y., Zhang, G., Hu, H., and Wei, Y. (2017, January 22\u201329). Deformable Convolutional Networks. Proceedings of the IEEE International Conference on Computer Vision, Venice, Italy.","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Hyeon-Woo, N., Yu-Ji, K., Heo, B., Han, D., Oh, S.J., and Oh, T.-H. (2023, January 1\u20136). Scratching Visual Transformer\u2019s Back with Uniform Attention. Proceedings of the IEEE\/CVF International Conference on Computer Vision, Paris, France.","DOI":"10.1109\/ICCV51070.2023.00534"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Xia, Z., Pan, X., Song, S., Li, L.E., and Huang, G. (2022, January 18\u201324). Vision Transformer with Deformable Attention. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, LA, USA.","DOI":"10.1109\/CVPR52688.2022.00475"},{"key":"ref_26","unstructured":"He, W., Han, K., Nie, Y., Wang, C., and Wang, Y. (2023). Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition. arXiv."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Shah, R., Bhatti, N., Akhtar, N., Khalil, S., and Garc\u00eda-Magari\u00f1o, I. (2020, January 26\u201327). Random Patterns Clothing Image Retrieval Using Convolutional Neural Network. Proceedings of the 2020 International Conference on Emerging Trends in Smart Technologies (ICETST), Karachi, Pakistan.","DOI":"10.1109\/ICETST49965.2020.9080687"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Zafar, A., Aamir, M., Nawi, N.M., Arshad, A., Riaz, S., Alruban, A., Dutta, A.K., and Almotairi, S. (2022). A Comparison of Pooling Methods for Convolutional Neural Networks. Appl. Sci., 12.","DOI":"10.3390\/app12178643"}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/17\/9\/1485\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:41:54Z","timestamp":1760035314000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/17\/9\/1485"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,8]]},"references-count":28,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2025,9]]}},"alternative-id":["sym17091485"],"URL":"https:\/\/doi.org\/10.3390\/sym17091485","relation":{},"ISSN":["2073-8994"],"issn-type":[{"type":"electronic","value":"2073-8994"}],"subject":[],"published":{"date-parts":[[2025,9,8]]}}}