{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T02:59:54Z","timestamp":1742957994594,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031624940"},{"type":"electronic","value":"9783031624957"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-62495-7_22","type":"book-chapter","created":{"date-parts":[[2024,6,21]],"date-time":"2024-06-21T20:19:24Z","timestamp":1719001164000},"page":"288-300","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards Digitisation of\u00a0Technical Drawings in\u00a0Architecture: Evaluation of\u00a0CNN Classification on\u00a0the\u00a0Perdaw Dataset"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2725-1665","authenticated-orcid":false,"given":"Alexandru","family":"Filip","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6791-7425","authenticated-orcid":false,"given":"Stella","family":"Gra\u00dfhof","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,6,22]]},"reference":[{"key":"22_CR1","doi-asserted-by":"crossref","unstructured":"Bhanbhro, H., Hooi, Y.K., Hassan, Z.: Modern approaches towards object detection of complex engineering drawings. In: 2022 International Conference on Digital Transformation and Intelligence (ICDI), pp. 01\u201306. IEEE (2022)","DOI":"10.1109\/ICDI57181.2022.10007400"},{"key":"22_CR2","volume-title":"Architectural Graphics","author":"FD Ching","year":"2003","unstructured":"Ching, F.D.: Architectural Graphics, 4th edn. Wiley, Hoboken (2003)","edition":"4"},{"issue":"2","key":"22_CR3","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.aei.2015.01.012","volume":"29","author":"H Fathi","year":"2015","unstructured":"Fathi, H., Dai, F., Lourakis, M.: Automated as-built 3D reconstruction of civil infrastructure using computer vision: achievements, opportunities, and challenges. Adv. Eng. Inform. 29(2), 149\u2013161 (2015)","journal-title":"Adv. Eng. Inform."},{"issue":"3","key":"22_CR4","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1016\/j.cad.2010.12.011","volume":"43","author":"L Fu","year":"2011","unstructured":"Fu, L., Kara, L.B.: From engineering diagrams to engineering models: visual recognition and applications. Comput. Aided Des. 43(3), 278\u2013292 (2011)","journal-title":"Comput. Aided Des."},{"issue":"5","key":"22_CR5","doi-asserted-by":"publisher","first-page":"1578","DOI":"10.1109\/TPAMI.2019.2954885","volume":"43","author":"XF Han","year":"2019","unstructured":"Han, X.F., Laga, H., Bennamoun, M.: Image-based 3D object reconstruction: state-of-the-art and trends in the deep learning era. IEEE Trans. Pattern Anal. Mach. Intell. 43(5), 1578\u20131604 (2019)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"22_CR6","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"22_CR7","unstructured":"Howard, A.G., et al.: Mobilenets: efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861 (2017)"},{"key":"22_CR8","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.aei.2018.05.005","volume":"37","author":"Z Ma","year":"2018","unstructured":"Ma, Z., Liu, S.: A review of 3D reconstruction techniques in civil engineering and their applications. Adv. Eng. Inform. 37, 163\u2013174 (2018)","journal-title":"Adv. Eng. Inform."},{"key":"22_CR9","doi-asserted-by":"publisher","first-page":"1695","DOI":"10.1007\/s00521-018-3583-1","volume":"31","author":"CF Moreno-Garc\u00eda","year":"2019","unstructured":"Moreno-Garc\u00eda, C.F., Elyan, E., Jayne, C.: New trends on digitisation of complex engineering drawings. Neural Comput. Appl. 31, 1695\u20131712 (2019)","journal-title":"Neural Comput. Appl."},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Nguyen, M.T., Pham, V.L., Nguyen, C.C., Nguyen, V.V.: Object detection and text recognition in large-scale technical drawings. In: Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods ICPRAM - Volume 1 (2021)","DOI":"10.5220\/0010314406120619"},{"key":"22_CR11","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"22_CR12","doi-asserted-by":"crossref","unstructured":"Rezvanifar, A., Cote, M., Albu, A.B.: Symbol spotting on digital architectural floor plans using a deep learning-based framework. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 568\u2013569 (2020)","DOI":"10.1109\/CVPRW50498.2020.00292"},{"key":"22_CR13","doi-asserted-by":"crossref","unstructured":"Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L.C.: Mobilenetv2: inverted residuals and linear bottlenecks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4510\u20134520 (2018)","DOI":"10.1109\/CVPR.2018.00474"},{"key":"22_CR14","unstructured":"Sarkar, S., Pandey, P., Kar, S.: Automatic detection and classification of symbols in engineering drawings. arXiv preprint arXiv:2204.13277 (2022)"},{"key":"22_CR15","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.\u00a01\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2818\u20132826. IEEE (2016)","DOI":"10.1109\/CVPR.2016.308"},{"key":"22_CR17","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1007\/978-3-319-99978-4_30","volume-title":"Artificial Neural Networks in Pattern Recognition","author":"Z Ziran","year":"2018","unstructured":"Ziran, Z., Marinai, S.: Object detection in floor plan images. In: Pancioni, L., Schwenker, F., Trentin, E. (eds.) ANNPR 2018. LNCS (LNAI), vol. 11081, pp. 383\u2013394. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-99978-4_30"}],"container-title":["Communications in Computer and Information Science","Engineering Applications of Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-62495-7_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,21]],"date-time":"2024-06-21T20:22:28Z","timestamp":1719001348000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-62495-7_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031624940","9783031624957"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-62495-7_22","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"22 June 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Engineering Applications of Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Corfu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eann2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eannconf.org\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}