{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:39:45Z","timestamp":1757619585511,"version":"3.44.0"},"publisher-location":"Singapore","reference-count":24,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819698684"},{"type":"electronic","value":"9789819698691"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-9869-1_34","type":"book-chapter","created":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T13:43:05Z","timestamp":1753364585000},"page":"401-412","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Chinese Text Detection in Natural Scenes Based on Feature Pyramid with Attention Mechanism"],"prefix":"10.1007","author":[{"given":"Yueqing","family":"Fu","sequence":"first","affiliation":[]},{"given":"Linhao","family":"Lv","sequence":"additional","affiliation":[]},{"given":"Jinyu","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Bo","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Chunhua","family":"Deng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,7,25]]},"reference":[{"issue":"1","key":"34_CR1","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/s11263-020-01369-0","volume":"129","author":"S Long","year":"2021","unstructured":"Long, S., He, X., Yao, C.: Scene text detection and recognition: the deep learning era. Int. J. Comput. Vision 129(1), 161\u2013184 (2021)","journal-title":"Int. J. Comput. Vision"},{"issue":"14","key":"34_CR2","doi-asserted-by":"publisher","first-page":"20255","DOI":"10.1007\/s11042-022-12693-7","volume":"81","author":"F Naiemi","year":"2022","unstructured":"Naiemi, F., Ghods, V., Khalesi, H.: Scene text detection and recognition: a survey. Multimedia Tools Appl. 81(14), 20255\u201320290 (2022)","journal-title":"Multimedia Tools Appl."},{"key":"34_CR3","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1109\/TPAMI.2022.3155612","volume":"45","author":"M Liao","year":"2022","unstructured":"Liao, M., Zou, Z., Wan, Z., Yao, C., Bai, X.: Real-time scene text detection with differentiable binarization and adaptive scale fusion. IEEE Trans. Pattern Anal. Mach. Intell. 45, 919\u2013931 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"34_CR4","doi-asserted-by":"publisher","first-page":"520","DOI":"10.3390\/forecast3030033","volume":"3","author":"H Butt","year":"2021","unstructured":"Butt, H., Raza, M.R., Ramzan, M.J., Ali, M.J., Haris, M.: Attention-based CNN-RNN Arabic text recognition from natural scene images. Forecasting 3(3), 520\u2013540 (2021)","journal-title":"Forecasting"},{"issue":"6","key":"34_CR5","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2016","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(6), 1137\u20131149 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"34_CR6","doi-asserted-by":"crossref","unstructured":"Liao, M., Shi, B., Bai, X., Wang, X., Liu, W.: Textboxes: a fast text detector with a single deep neural network. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 31 (2017)","DOI":"10.1609\/aaai.v31i1.11196"},{"issue":"8","key":"34_CR7","doi-asserted-by":"publisher","first-page":"3676","DOI":"10.1109\/TIP.2018.2825107","volume":"27","author":"M Liao","year":"2018","unstructured":"Liao, M., Shi, B., Bai, X.: Textboxes++: a single-shot oriented scene text detector. IEEE Trans. Image Process. 27(8), 3676\u20133690 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"34_CR8","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/s10032-019-00335-y","volume":"22","author":"Z Zhong","year":"2019","unstructured":"Zhong, Z., Sun, L., Huo, Q.: An anchor-free region proposal network for faster rcnn-based text detection approaches. Int. J. Doc. Anal. Recogn. (IJDAR) 22, 315\u2013327 (2019)","journal-title":"Int. J. Doc. Anal. Recogn. (IJDAR)"},{"key":"34_CR9","doi-asserted-by":"crossref","unstructured":"Deng, D., Liu, H., Li, X., Cai, D.: Pixellink: detecting scene text via instance segmentation. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 32 (2018)","DOI":"10.1609\/aaai.v32i1.12269"},{"key":"34_CR10","doi-asserted-by":"crossref","unstructured":"Wang, W., et al.: Shape robust text detection with progressive scale expansion network. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9336\u20139345 (2019)","DOI":"10.1109\/CVPR.2019.00956"},{"key":"34_CR11","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Doll\u00e1r, P., Girshick, R., He, K., Hariharan, B., Belongie, S.: Feature pyramid networks for object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2117\u20132125 (2017)","DOI":"10.1109\/CVPR.2017.106"},{"key":"34_CR12","doi-asserted-by":"crossref","unstructured":"Chen, H., Liu, J., Zhou, W.: Natural scene text detection algorithm based on improved dbnet. In: 2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT), pp. 186\u2013190. IEEE (2022)","DOI":"10.1109\/ICEICT55736.2022.9909509"},{"key":"34_CR13","doi-asserted-by":"crossref","unstructured":"Liu, Y., Shi, Y., Lin, C., Hua, J., Huang, Z.: Efficient and accurate text detection combining differentiable binarization with semantic segmentation. In: International Conference on Artificial Neural Networks, pp. 630\u2013642. Springer (2022)","DOI":"10.1007\/978-3-031-15934-3_52"},{"key":"34_CR14","unstructured":"LI, Z.X., Zhou, Y.T.: isff-dbnet: an improved text detection algorithm in ecommerce images. Comput. Eng. Sci. 45(11), 2008 (2023)"},{"key":"34_CR15","doi-asserted-by":"crossref","unstructured":"Tian, Z., et al.: Learning shape-aware embedding for scene text detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4234\u20134243 (2019)","DOI":"10.1109\/CVPR.2019.00436"},{"key":"34_CR16","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7132\u20137141 (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"key":"34_CR17","doi-asserted-by":"crossref","unstructured":"Wang, W., et al.: Pan++: towards efficient and accurate end-to-end spotting of arbitrarily-shaped text. IEEE Trans. Pattern Anal. Mach. Intell. 44(9), 5349\u20135367 (2021)","DOI":"10.1109\/TPAMI.2021.3077555"},{"key":"34_CR18","unstructured":"Yuliang, L., Lianwen, J., Shuaitao, Z., Sheng, Z.: Detecting curve text in the wild: New dataset and new solution. arXiv preprint arXiv:1712.02170 (2017)"},{"key":"34_CR19","unstructured":"Yao, C., Bai, X., Liu, W., Ma, Y., Tu, Z.: Detecting texts of arbitrary orientations in natural images. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1083\u20131090. IEEE (2012)"},{"key":"34_CR20","doi-asserted-by":"crossref","unstructured":"Tian, Z., Huang, W., He, T., He, P., Qiao, Y.: Detecting text in natural image with connectionist text proposal network. In: Computer Vision\u2013ECCV 2016: 14th European Conference, Proceedings, Part VIII 14, pp. 56\u201372. Springer, Cham (2016)","DOI":"10.1007\/978-3-319-46484-8_4"},{"key":"34_CR21","doi-asserted-by":"crossref","unstructured":"Zhou, X., et al.: East: an efficient and accurate scene text detector. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5551\u20135560 (2017)","DOI":"10.1109\/CVPR.2017.283"},{"key":"34_CR22","doi-asserted-by":"crossref","unstructured":"Wang, W., et al.: Efficient and accurate arbitrary-shaped text detection with pixel aggregation network. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 8440\u20138449 (2019)","DOI":"10.1109\/ICCV.2019.00853"},{"key":"34_CR23","doi-asserted-by":"crossref","unstructured":"Yu, W., Liu, Y., Hua, W., Jiang, D., Ren, B., Bai, X.: Turning a clip model into a scene text detector. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6978\u20136988 (2023)","DOI":"10.1109\/CVPR52729.2023.00674"},{"key":"34_CR24","doi-asserted-by":"crossref","unstructured":"Duan, C., Fu, P., Guo, S., Jiang, Q., Wei, X.: Odm: a text-image further alignment pre-training approach for scene text detection and spotting. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 15587\u201315597 (2024)","DOI":"10.1109\/CVPR52733.2024.01476"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-9869-1_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,7]],"date-time":"2025-09-07T21:59:35Z","timestamp":1757282375000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-9869-1_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819698684","9789819698691"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-9869-1_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"25 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}