{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T18:25:20Z","timestamp":1772043920403,"version":"3.50.1"},"reference-count":77,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","funder":[{"name":"Beijing Natural Science Foundation","award":["Z200002"],"award-info":[{"award-number":["Z200002"]}]},{"name":"National Key RD Program of China","award":["2019YFF0303300"],"award-info":[{"award-number":["2019YFF0303300"]}]},{"name":"National Key RD Program of China","award":["2020AAA0105200"],"award-info":[{"award-number":["2020AAA0105200"]}]},{"name":"National Key RD Program of China","award":["Subject II. 2019YFF0303302"],"award-info":[{"award-number":["Subject II. 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":["U19B2036"],"award-info":[{"award-number":["U19B2036"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"BUPT Excellent Ph.D. Students Foundation","award":["CX2020105"],"award-info":[{"award-number":["CX2020105"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tpami.2021.3102955","type":"journal-article","created":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T20:29:57Z","timestamp":1628627397000},"page":"1-1","source":"Crossref","is-referenced-by-count":21,"title":["GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention"],"prefix":"10.1109","author":[{"given":"Jiyang","family":"Xie","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhanyu","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongliang","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoqiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Simonyan"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00053"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.l007\/978-3-319-46448-0_2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58539-6_11"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2852750"},{"key":"ref9","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","author":"Hinton","year":"2012"},{"key":"ref10","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref12","first-page":"2017","article-title":"Spatial transformer networks","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Jaderberg"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref14","first-page":"9401","article-title":"Gather-Excite: Exploiting feature context in convolutional neural networks","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Hu"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_49"},{"key":"ref16","first-page":"1","article-title":"BAM: Bottleneck attention module","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Park"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5842"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/app9091939"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.05.049"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2928494"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-45528-0"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00286"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00812"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00320"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_15"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.32470\/CCN.2018.1113-0"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00046"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00973"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.08.024"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00064"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2942346"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00230"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01132"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00069"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00374"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00338"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00246"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01181"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01019"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00060"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01104"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.170"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978613"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2873722"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00232"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2999099"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01009"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2019.8918818"},{"key":"ref54","article-title":"The concrete distribution: A continuous relaxation of discrete random variables","author":"Maddison","year":"2017"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.5.720"},{"key":"ref56","article-title":"Learning multiple layers of features from tiny images","volume-title":"TR-2009","author":"Krizhevsky","year":"2009"},{"key":"ref57","article-title":"Matching networks for one shot learning","author":"Vinyals","year":"2016"},{"key":"ref58","article-title":"Pixel recurrent neural networks","author":"van den Oord","year":"2016"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00144"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.381"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_37"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00669"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412181"},{"key":"ref67","article-title":"The caltech-ucsd birds-200\u20132011dataset","author":"Wah","year":"2011"},{"key":"ref68","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00978"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref74","article-title":"MMDetection: Open mmlab detection toolbox and benchmark","author":"Chen","year":"2019"},{"key":"ref75","article-title":"MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark","year":"2020"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00584"},{"key":"ref78","first-page":"13153","article-title":"A simple baseline for Bayesian uncertainty in deep learning","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Maddox"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/4359286\/09511096.pdf?arnumber=9511096","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:07:18Z","timestamp":1705014438000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9511096\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":77,"URL":"https:\/\/doi.org\/10.1109\/tpami.2021.3102955","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}