{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T13:01:05Z","timestamp":1755694865176,"version":"3.41.0"},"reference-count":39,"publisher":"Association for Computing Machinery (ACM)","issue":"11","license":[{"start":{"date-parts":[[2024,11,21]],"date-time":"2024-11-21T00:00:00Z","timestamp":1732147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62172438, 61702160"],"award-info":[{"award-number":["62172438, 61702160"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"crossref","award":["2021YFB3900601"],"award-info":[{"award-number":["2021YFB3900601"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["B220202074"],"award-info":[{"award-number":["B220202074"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Fundamental Research Funds for the Central Universities, JLU, the Joint Fundation of the Ministry of Education","award":["8091B022123"],"award-info":[{"award-number":["8091B022123"]}]},{"name":"Key Laboratory of AI and Information Processing (Hechi University), Education Department of Guangxi Zhuang Autonomous Region","award":["2022GXZDSY014"],"award-info":[{"award-number":["2022GXZDSY014"]}]},{"name":"Special Research Fund for Basic Research Program of Shenzhen Municipality, China","award":["202208183000751"],"award-info":[{"award-number":["202208183000751"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Asian Low-Resour. Lang. Inf. Process."],"published-print":{"date-parts":[[2024,11,30]]},"abstract":"<jats:p>\n            How to properly involve text characteristics like multi-scale, arbitrary direction, length aspect ratio, into detection network design has become a hot topic in computer vision.\n            <jats:bold>Feature Pyramid Network (FPN)<\/jats:bold>\n            is a typical method to achieve robust text detection, where its low-level and high-level feature map retains spatial structure and global semantic information, respectively. However, its strict hierarchical structure fails to fuse low-level and high-level information to improve the distinguish ability of feature map. To address this problem, we propose a novel feature fusion pyramid network for end-to-end scene text detection by fusing multi-modal information. By dividing pyramid structure into high-level and low-level layers, channel and spatial attention modules are adopted to enhance high-level and low-level feature representation by encoding channel and spatial-wise context information, respectively. In order to reduce information loss by layer transmission, a special residual network is designed to achieve short-cut between high-level and low-level features, so as to realize multi-modal feature fusion. Experiments show the precision and recall of the proposed method on ICDAR2015, ICDAR2017-MLT, and MSRA-TD500 datasets reach 88.7%\/82.1%, 77.0%\/60.3%, and 85.3%\/74.8%, respectively.\n          <\/jats:p>","DOI":"10.1145\/3582003","type":"journal-article","created":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T12:00:44Z","timestamp":1675166444000},"page":"1-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Feature Fusion Pyramid Network for End-to-End Scene Text Detection"],"prefix":"10.1145","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3022-3718","authenticated-orcid":false,"given":"Yirui","family":"Wu","sequence":"first","affiliation":[{"name":"College of Computer and Information, Hohai University, China and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4324-4016","authenticated-orcid":false,"given":"Lilai","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer and Information, Hohai University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7434-3896","authenticated-orcid":false,"given":"Hao","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer and Information, Hohai University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0888-9719","authenticated-orcid":false,"given":"Yunfei","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer and Information, Hohai University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7013-9081","authenticated-orcid":false,"given":"Shaohua","family":"Wan","sequence":"additional","affiliation":[{"name":"Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, China and Key Laboratory of AI and Information Processing, Hechi University, Guangxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,11,21]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11554-015-0508-4"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12269"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00720"},{"key":"e_1_3_1_6_2","article-title":"Multi-level attention-based sample correlations for knowledge distillation","author":"Gou Jianping","year":"2022","unstructured":"Jianping Gou, Liyuan Sun, Baosheng Yu, Shaohua Wan, Weihua Ou, and Zhang Yi. 2022. Multi-level attention-based sample correlations for knowledge distillation. IEEE Transactions on Industrial Informatics (2022).","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2855399"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0823-z"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2825107"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11196"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00913"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00595"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.368"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_2"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00788"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2818020"},{"key":"e_1_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2818020"},{"key":"e_1_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2013.10.004"},{"key":"e_1_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2017.237"},{"key":"e_1_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2496234"},{"key":"e_1_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"e_1_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.371"},{"key":"e_1_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_4"},{"key":"e_1_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413819"},{"key":"e_1_3_1_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/3571734"},{"key":"e_1_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2021.116319"},{"key":"e_1_3_1_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3194590"},{"key":"e_1_3_1_29_2","first-page":"1","article-title":"Scene guided colorization using neural networks","author":"Xia Yu","year":"2018","unstructured":"Yu Xia, Shiru Qu, and Shaohua Wan. 2018. Scene guided colorization using neural networks. Neural Computing and Applications (2018), 1\u201314.","journal-title":"Neural Computing and Applications"},{"key":"e_1_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019038"},{"key":"e_1_3_1_31_2","article-title":"FedEE: A federated graph learning solution for extended enterprise collaboration","author":"Xie Zhenzhen","year":"2022","unstructured":"Zhenzhen Xie, Yan Huang, Dongxiao Yu, Reza M. Parizi, Yanwei Zheng, and Junjie Pang. 2022. FedEE: A federated graph learning solution for extended enterprise collaboration. IEEE Transactions on Industrial Informatics (2022).","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"e_1_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2974745"},{"key":"e_1_3_1_33_2","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/72"},{"key":"e_1_3_1_34_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2366765"},{"key":"e_1_3_1_35_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2020.3010833"},{"key":"e_1_3_1_36_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00134"},{"key":"e_1_3_1_37_2","article-title":"Local correlation ensemble with GCN based on attention features for cross-domain person re-ID","author":"Zhang Yue","year":"2022","unstructured":"Yue Zhang, Fanghui Zhang, Yi Jin, Yigang Cen, Viacheslav Voronin, and Shaohua Wan. 2022. Local correlation ensemble with GCN based on attention features for cross-domain person re-ID. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) (2022).","journal-title":"ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)"},{"key":"e_1_3_1_38_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.283"},{"key":"e_1_3_1_39_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00093"},{"key":"e_1_3_1_40_2","first-page":"3123","volume-title":"Proceedings of IEEE Conference on Computer Vision and Pattern Recognition","author":"Zhu Yiqin","year":"2021","unstructured":"Yiqin Zhu, Jianyong Chen, Lingyu Liang, Zhanghui Kuang, Lianwen Jin, and Wayne Zhang. 2021. Fourier contour embedding for arbitrary-shaped text detection. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. 3123\u20133131."}],"container-title":["ACM Transactions on Asian and Low-Resource Language Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3582003","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3582003","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:44Z","timestamp":1750178804000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3582003"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,21]]},"references-count":39,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2024,11,30]]}},"alternative-id":["10.1145\/3582003"],"URL":"https:\/\/doi.org\/10.1145\/3582003","relation":{},"ISSN":["2375-4699","2375-4702"],"issn-type":[{"type":"print","value":"2375-4699"},{"type":"electronic","value":"2375-4702"}],"subject":[],"published":{"date-parts":[[2024,11,21]]},"assertion":[{"value":"2022-05-15","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-01-14","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-11-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}