{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T16:17:28Z","timestamp":1783527448292,"version":"3.55.0"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2019YFF0303300"],"award-info":[{"award-number":["2019YFF0303300"]}]},{"name":"Subject II","award":["2019YFF0303302"],"award-info":[{"award-number":["2019YFF0303302"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773071"],"award-info":[{"award-number":["61773071"]}],"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":["61922015"],"award-info":[{"award-number":["61922015"]}],"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":["61971062"],"award-info":[{"award-number":["61971062"]}],"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":["U19B2036"],"award-info":[{"award-number":["U19B2036"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation Project","doi-asserted-by":"publisher","award":["Z200002"],"award-info":[{"award-number":["Z200002"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Academy of Artificial Intelligence","award":["BAAI2020ZJ0204"],"award-info":[{"award-number":["BAAI2020ZJ0204"]}]},{"DOI":"10.13039\/501100005090","name":"Beijing Nova Program Interdisciplinary Cooperation Project","doi-asserted-by":"publisher","award":["Z191100001119140"],"award-info":[{"award-number":["Z191100001119140"]}],"id":[{"id":"10.13039\/501100005090","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"scholarship from China Scholarship Council","doi-asserted-by":"publisher","award":["CSC 202006470036"],"award-info":[{"award-number":["CSC 202006470036"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002766","name":"Beijing University of Posts and Telecommunications (BUPT) Excellent Ph.D. Students Foundation","doi-asserted-by":"publisher","award":["CX2020105"],"award-info":[{"award-number":["CX2020105"]}],"id":[{"id":"10.13039\/501100002766","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tip.2021.3055617","type":"journal-article","created":{"date-parts":[[2021,2,9]],"date-time":"2021-02-09T08:34:48Z","timestamp":1612859688000},"page":"2826-2836","source":"Crossref","is-referenced-by-count":204,"title":["AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0324-4484","authenticated-orcid":false,"given":"Yifeng","family":"Ding","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2950-2488","authenticated-orcid":false,"given":"Zhanyu","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaoguo","family":"Wen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3659-9476","authenticated-orcid":false,"given":"Jiyang","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4081-3001","authenticated-orcid":false,"given":"Dongliang","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8286-2872","authenticated-orcid":false,"given":"Zhongwei","family":"Si","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8390-5398","authenticated-orcid":false,"given":"Ming","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haibin","family":"Ling","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","article-title":"BAM: Bottleneck attention module","author":"park","year":"2018","journal-title":"arXiv 1807 06514"},{"key":"ref38","first-page":"2017","article-title":"Spatial transformer networks","author":"jaderberg","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref33","article-title":"Pyramid attention network for semantic segmentation","author":"li","year":"2018","journal-title":"arXiv 1805 10180"},{"key":"ref32","first-page":"354","article-title":"A unified multi-scale deep convolutional neural network for fast object detection","author":"cai","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref31","first-page":"21","article-title":"SSD: Single shot multibox detector","author":"liu","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_31"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.667"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.249"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00086"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.98"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.314"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.494"},{"key":"ref1","first-page":"842","article-title":"The application of two-level attention models in deep convolutional neural network for fine-grained image classification","author":"xiao","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2932005"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2601099"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3027616"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2929447"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2686017"},{"key":"ref26","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref50","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00436"},{"key":"ref58","first-page":"10727","article-title":"DropBlock: A regularization method for convolutional networks","author":"ghiasi","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00515"},{"key":"ref56","first-page":"153","article-title":"Fine-grained visual classification via progressive multi-granularity training of jigsaw patches","author":"du","year":"2020","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00530"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00833"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6712"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2973812"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00093"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.557"},{"key":"ref40","first-page":"3","article-title":"CBAM: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.476"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_26"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00315"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref16","article-title":"The Caltech-UCSD birds-200-2011 dataset","author":"wah","year":"2011"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.77"},{"key":"ref18","article-title":"Fine-grained visual classification of aircraft","author":"maji","year":"2013","journal-title":"arXiv 1306 5151"},{"key":"ref19","article-title":"Your ‘Labrador’ is my ‘Dog’: Fine-grained, or not","author":"chang","year":"2020","journal-title":"arXiv 2011 09040"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299023"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IVMSPW.2016.7528213"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_54"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.47"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.170"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.132"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.743"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2607345"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.96"},{"key":"ref48","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2936410"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2936710"},{"key":"ref41","first-page":"1090","article-title":"Multi-attention meta learning for few-shot fine-grained image recognition","author":"zhu","year":"2020","journal-title":"Proc 29th Int Joint Conf Artif Intell 17th Pacific Rim Int Conf Artif Intell"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2895651"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.41"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9263394\/09350209.pdf?arnumber=9350209","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:18Z","timestamp":1652194218000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9350209\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/tip.2021.3055617","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}