{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T14:20:55Z","timestamp":1761402055737,"version":"3.37.3"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea (NRF) through the Korean Government, Ministry of Science and ICT","doi-asserted-by":"publisher","award":["2019R1F1A1063522"],"award-info":[{"award-number":["2019R1F1A1063522"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2980742","type":"journal-article","created":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T20:12:45Z","timestamp":1584130365000},"page":"61433-61441","source":"Crossref","is-referenced-by-count":7,"title":["Salient Explanation for Fine-Grained Classification"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8897-3071","authenticated-orcid":false,"given":"Kanghan","family":"Oh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5887-5606","authenticated-orcid":false,"given":"Sungchan","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8823-0438","authenticated-orcid":false,"given":"Il-Seok","family":"Oh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.2001.0978"},{"key":"ref33","article-title":"Fine-grained visual classification of aircraft","author":"maji","year":"2013","journal-title":"arXiv 1306 5151"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.77"},{"article-title":"The Caltech-UCSD birds-200-2011 dataset","year":"2011","author":"wah","key":"ref31"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533053"},{"key":"ref37","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-019-54548-6","article-title":"Classification and visualization of Alzheimer’s disease using volumetric convolutional neural network and transfer learning","volume":"9","author":"oh","year":"2019","journal-title":"Sci Rep"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0021935"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.schres.2019.07.034"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref10","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref11","first-page":"1","article-title":"Understanding neural networks through deep visualization","author":"yosinski","year":"2015","journal-title":"Proc ICML Deep Learn Workshop"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.190734"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1059-x"},{"key":"ref14","first-page":"1","article-title":"RISE: Randomized input sampling for explanation of black-box models","author":"petisiuk","year":"2018","journal-title":"Proc Brit Mach Vis Conf (BMVC)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2963055"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"ref17","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref18","first-page":"1","article-title":"Visualizing deep neural network decisions: Prediction difference analysis","author":"zintgraf","year":"2017","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.371"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2891739"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2895651"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2852721"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCIA.2018.00036"},{"key":"ref5","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"2015","journal-title":"Proc IEEE Int Conf Mach Learn (ICML)"},{"key":"ref8","first-page":"120","article-title":"Salient deconvolutinoal networks","author":"mahendran","year":"2016","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.110"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01228-7"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref20","first-page":"1","article-title":"Striving for simplicity: The all convolutional net","author":"springenberg","year":"2015","journal-title":"Proc ICLR Workshop DeepLearn"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133108"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2599820"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref23","first-page":"1988","article-title":"Deep learning face representation by joint identification-verification","author":"sun","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2774041"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2885055"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09035446.pdf?arnumber=9035446","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T01:08:21Z","timestamp":1641949701000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9035446\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2980742","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}