{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T16:47:08Z","timestamp":1775666828111,"version":"3.50.1"},"reference-count":38,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2023,1,19]],"date-time":"2023-01-19T00:00:00Z","timestamp":1674086400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52175032"],"award-info":[{"award-number":["52175032"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["K11808"],"award-info":[{"award-number":["K11808"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["K11811"],"award-info":[{"award-number":["K11811"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Intelligent Systems"],"published-print":{"date-parts":[[2023,2]]},"abstract":"<jats:sec><jats:label\/><jats:p>In the fabric manufacturing industry, fabric defect detection is a practical yet challenging task, due to the problem of defects with small sizes or unremarkable appearances distributed in fabric images with high resolution. Some deep\u2010learning\u2010based solutions try to tackle the aforementioned problem but with limited achievements. Herein, a brand new module called adaptively fused attention module (AFAM) is proposed to improve the detection performance by enabling the network to concentrate more on the small or unremarkable defects in terms of 1) enhancing the feature maps both spatial\u2010wise and channel\u2010wise, 2) enhancing the attention information flow between the channel\u2010attention feature map and the spatial\u2010attention feature map, and 3) enriching background information. Experiments on the MS\u2010COCO dataset show that AFAM reaches higher AP than other state\u2010of\u2010the\u2010art (SOTA) attention modules (e.g., squeeze\u2010and\u2010excitation network [SE], efficient channel attention [ECA], convolutional block attention module [CBAM]). Meanwhile, on the Smart Diagnosis of Cloth Flaw Dataset (CloF), the Cascade R\u2010CNN (Resnext101)\u2009+\u2009AFAM outperforms the SOTA in the official leaderboard of the CloF dataset. Speed\u2010wisely, the solution achieves a 12.19\u2010FPS on RTX 3090, thus making it practical to be applied in the industry of fabric defect detection.<\/jats:p><\/jats:sec>","DOI":"10.1002\/aisy.202200151","type":"journal-article","created":{"date-parts":[[2023,1,19]],"date-time":"2023-01-19T23:59:30Z","timestamp":1674172770000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Adaptively Fused Attention Module for the Fabric Defect Detection"],"prefix":"10.1002","volume":"5","author":[{"given":"Jin","family":"Wang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Fluid Power &amp; Mechatronic Systems Zhejiang University  Hangzhou Zhejiang 310027 China"},{"name":"Engineering Research Center for Design Engineering and Digital Twin of Zhejiang Province School of Mechanical Engineering Zhejiang University  Hangzhou 310027 China"}]},{"given":"Jingru","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Fluid Power &amp; Mechatronic Systems Zhejiang University  Hangzhou Zhejiang 310027 China"},{"name":"Engineering Research Center for Design Engineering and Digital Twin of Zhejiang Province School of Mechanical Engineering Zhejiang University  Hangzhou 310027 China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2762-9912","authenticated-orcid":false,"given":"Guodong","family":"Lu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Fluid Power &amp; Mechatronic Systems Zhejiang University  Hangzhou Zhejiang 310027 China"},{"name":"Engineering Research Center for Design Engineering and Digital Twin of Zhejiang Province School of Mechanical Engineering Zhejiang University  Hangzhou 310027 China"}]},{"given":"Cheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Fluid Power &amp; Mechatronic Systems Zhejiang University  Hangzhou Zhejiang 310027 China"},{"name":"Engineering Research Center for Design Engineering and Digital Twin of Zhejiang Province School of Mechanical Engineering Zhejiang University  Hangzhou 310027 China"}]},{"given":"Zhiyong","family":"Yu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Fluid Power &amp; Mechatronic Systems Zhejiang University  Hangzhou Zhejiang 310027 China"},{"name":"Engineering Research Center for Design Engineering and Digital Twin of Zhejiang Province School of Mechanical Engineering Zhejiang University  Hangzhou 310027 China"}]},{"given":"Ying","family":"Yang","sequence":"additional","affiliation":[{"name":"Zhejiang Academy of Surveying &amp; Mapping  Hangzhou Zhejiang 311100 China"}]}],"member":"311","published-online":{"date-parts":[[2023,1,19]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2016.09.110"},{"key":"e_1_2_10_3_1","doi-asserted-by":"crossref","unstructured":"M.Haselmann D. P.Gruber P.Tabatabai in2018 17th IEEE Int. Conf. on Machine Learning and Applications (ICMLA) IEEE Piscataway NJ2018 pp.1237\u20131242.","DOI":"10.1109\/ICMLA.2018.00201"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20030871"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2959741"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2016.2520955"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cirp.2016.04.072"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-02084-6"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.116827"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1177\/0040517520928604"},{"key":"e_1_2_10_11_1","unstructured":"T.-Y.Lin P.Doll\u00e1r R.Girshick K.He B.Hariharan S.Belongie inProc. of the IEEE Conf. on Computer Vision and Pattern Recognition IEEE Piscataway NJ2017 pp.2117\u20132125."},{"key":"e_1_2_10_12_1","unstructured":"Tianchi Smart Diagnosis of Cloth Flaw Dataset2020 https:\/\/tianchi.aliyun.com\/dataset\/dataDetail?dataId=79336(accessed: October)."},{"key":"e_1_2_10_13_1","doi-asserted-by":"crossref","unstructured":"T.-Y.Lin M.Maire S.Belongie J.Hays P.Perona D.Ramanan P.Doll\u00e1r C. L.Zitnick inEuropean Conf. on Computer Vision Springer Zurich Switzerland2014 pp.740\u2013755.","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"e_1_2_10_14_1","unstructured":"C.-Y.Fu W.Liu A.Ranga A.Tyagi A. C.Berg arXiv preprint arXiv:1701.06659 2017."},{"key":"e_1_2_10_15_1","unstructured":"J.Jeong H.Park N.Kwak arXiv preprint arXiv:1705.09587 2017."},{"key":"e_1_2_10_16_1","unstructured":"J.Li X.Liang Y.Wei T.Xu J.Feng S.Yan inProc. of the IEEE Conference on Computer Vision and Pattern Recognition IEEE Piscataway NJ2017 pp.1222\u20131230."},{"key":"e_1_2_10_17_1","unstructured":"I.Goodfellow J.Pouget-Abadie M.Mirza B.Xu D.Warde-Farley S.Ozair A.Courville Y.Bengio Advances in Neural Information Processing Systems Montreal Quebec Canada2014 p.27."},{"key":"e_1_2_10_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.114602"},{"key":"e_1_2_10_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02893-3"},{"key":"e_1_2_10_20_1","unstructured":"A.Vaswani N.Shazeer N.Parmar J.Uszkoreit L.Jones A. N.Gomez \u0141.Kaiser I.Polosukhin inAdvances in Neural Information Processing Systems Long Beach CA USA2017 p.5998."},{"key":"e_1_2_10_21_1","unstructured":"Z.Liu Y.Lin Y.Cao H.Hu Y.Wei Z.Zhang S.Lin B.Guo inProc. of the IEEE\/CVF Int. Conf. on Computer Vision IEEE Piscataway NJ2021 pp.10012\u201310022."},{"key":"e_1_2_10_22_1","unstructured":"S.Mehta M.Rastegari arXiv preprint arXiv:2110.02178 2021."},{"key":"e_1_2_10_23_1","unstructured":"H.Bao L.Dong F.Wei arXiv preprint arXiv:2106.08254 2021."},{"key":"e_1_2_10_24_1","unstructured":"J.Hu L.Shen G.Sun inProc. of the IEEE Conf. on Computer Vision and Pattern Recognition IEEE Piscataway NJ2018 pp.7132\u20137141."},{"key":"e_1_2_10_25_1","doi-asserted-by":"crossref","unstructured":"Q.Wang B.Wu P.Zhu P.Li W.Zuo Q.Hu inIEEE Conf. on Computer Vision and Pattern Recognition (CVPR) IEEE Piscataway NJ2020 pp.11531\u201311539.","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"e_1_2_10_26_1","unstructured":"X.Li X.Hu J.Yang arXiv preprint arXiv:1905.09646 2019."},{"key":"e_1_2_10_27_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrn755"},{"key":"e_1_2_10_28_1","unstructured":"H.Larochelle G. E.Hinton Advances in Neural Information Processing Systems Vancouver British Columbia Canada2010 p.23."},{"key":"e_1_2_10_29_1","doi-asserted-by":"crossref","unstructured":"S.Woo J.Park J.-Y.Lee I. S.Kweon inProc. of the European Conf. on Computer Vision (ECCV) Munich Germany2018 pp.3\u201319.","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"e_1_2_10_30_1","doi-asserted-by":"crossref","unstructured":"Q.Lin Y.Ding H.Xu W.Lin J.Li X.Xie in2021 7th Int. Conf. on Automation Robotics and Applications (ICARA) IEEE Piscataway NJ2021 pp.268\u2013272.","DOI":"10.1109\/ICARA51699.2021.9376456"},{"key":"e_1_2_10_31_1","unstructured":"Tianchi Tianchi Form2020 https:\/\/tianchi.aliyun.com\/competition\/entrance\/231749\/forum(accessed: October)."},{"key":"e_1_2_10_32_1","unstructured":"K.Chen J.Wang J.Pang Y.Cao Y.Xiong X.Li S.Sun W.Feng Z.Liu J.Xu et al. arXiv preprint arXiv:1906.07155 2019."},{"key":"e_1_2_10_33_1","unstructured":"A.Paszke S.Gross F.Massa A.Lerer J.Bradbury G.Chanan T.Killeen Z.Lin N.Gimelshein L.Antiga et al. Advances in Neural Information Processing Systems Vancouver BC Canada2019 32 8026."},{"key":"e_1_2_10_34_1","doi-asserted-by":"crossref","unstructured":"R. R.Selvaraju M.Cogswell A.Das R.Vedantam D.Parikh D.Batra inProc. of the IEEE Int. Conf. on Computer Vision IEEE Piscataway NJ2017 pp.618\u2013626.","DOI":"10.1109\/ICCV.2017.74"},{"key":"e_1_2_10_35_1","unstructured":"Tianchi Rankinglist2020 https:\/\/tianchi.aliyun.com\/competition\/entrance\/231748\/rankingList\/0(accessed: October)."},{"key":"e_1_2_10_36_1","unstructured":"Z.Ge S.Liu F.Wang Z.Li J.Sun. arXiv preprint arXiv:2107.08430 2021."},{"key":"e_1_2_10_37_1","doi-asserted-by":"crossref","unstructured":"K.Kim H. S.Lee inEuropean Conf. on Computer Vision Springer Glasgow United Kingdom2020 pp.355\u2013371.","DOI":"10.1007\/978-3-030-58595-2_22"},{"key":"e_1_2_10_38_1","unstructured":"P.Sun R.Zhang Y.Jiang T.Kong C.Xu W.Zhan M.Tomizuka L.Li Z.Yuan C.Wang et al.Proc. of the IEEE\/CVF Conf. on Computer Vision and Pattern Recognition IEEE Piscataway NJ2021 pp.14454\u201314463."},{"key":"e_1_2_10_39_1","unstructured":"S.Xie R.Girshick P.Doll\u00e1r Z.Tu K.He inProc. of the IEEE Conf. on Computer Vision and Pattern Recognition IEEE Piscataway NJ2017 pp.1492\u20131500."}],"container-title":["Advanced Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/aisy.202200151","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/aisy.202200151","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/advanced.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/aisy.202200151","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T21:11:52Z","timestamp":1759871512000},"score":1,"resource":{"primary":{"URL":"https:\/\/advanced.onlinelibrary.wiley.com\/doi\/10.1002\/aisy.202200151"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,19]]},"references-count":38,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,2]]}},"alternative-id":["10.1002\/aisy.202200151"],"URL":"https:\/\/doi.org\/10.1002\/aisy.202200151","archive":["Portico"],"relation":{},"ISSN":["2640-4567","2640-4567"],"issn-type":[{"value":"2640-4567","type":"print"},{"value":"2640-4567","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,19]]},"assertion":[{"value":"2022-06-06","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-01-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2200151"}}