{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T19:17:00Z","timestamp":1781205420526,"version":"3.54.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2016,9,1]],"date-time":"2016-09-01T00:00:00Z","timestamp":1472688000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/100003392","name":"Swedish Foundation for Strategic Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100003392","id-type":"DOI","asserted-by":"publisher"}]},{"name":"VINST"},{"name":"CVPR"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2016,9,1]]},"DOI":"10.1109\/tpami.2015.2500224","type":"journal-article","created":{"date-parts":[[2015,11,12]],"date-time":"2015-11-12T15:03:21Z","timestamp":1447340601000},"page":"1790-1802","source":"Crossref","is-referenced-by-count":214,"title":["Factors of Transferability for a Generic ConvNet Representation"],"prefix":"10.1109","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5211-6388","authenticated-orcid":false,"given":"Hossein","family":"Azizpour","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali Sharif","family":"Razavian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Josephine","family":"Sullivan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Atsuto","family":"Maki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Carlsson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"487","article-title":"Learning deep features for scene recognition using places database","author":"zhou","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","article-title":"Overfeat: Integrated recognition, localization and detection using convolutional networks","author":"sermanet","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref33","first-page":"41","article-title":"Multi-task feature learning","author":"andreas","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref32","first-page":"204","article-title":"Discriminability-based transfer between neural networks","author":"pratt","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref31","first-page":"375","article-title":"Smooth object retrieval using a bag of boundaries","author":"arandjelovi?","year":"0","journal-title":"Proc IEEE Int Conf Comput Vis"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995711"},{"key":"ref37","article-title":"How transferable are features in deep neural networks?","author":"yosinski","year":"0","journal-title":"arXiv 1411 1792 [cs LG]"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_22"},{"key":"ref35","first-page":"1378","article-title":"Object bank: A high-level image representation for scene classification & semantic feature sparsification","author":"li","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1142\/S0218213008004059"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247998"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539970"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICVGIP.2008.47"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00344251"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248092"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206537"},{"key":"ref21","first-page":"304","article-title":"Hamming embedding and weak geometric consistency for large scale image search","author":"j\u00e9gou","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref24","article-title":"Caltech-UCSD Birds 200","author":"welinder","year":"2010"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206772"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587635"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126386"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0748-y"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35749-7_3"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.5244\/C.27.99"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.177"},{"key":"ref54","author":"koniusz","year":"2013"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.215"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.96"},{"key":"ref10","article-title":"Visualizing and understanding convolutional networks","volume":"abs 1311 2901","author":"zeiler","year":"2013","journal-title":"CoRR"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.214"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_26"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_54"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298641"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299194"},{"key":"ref16","first-page":"4694","article-title":"Beyond short snippets: Deep networks for video classification","author":"ng","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recog"},{"key":"ref17","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0","journal-title":"Proc ICLR"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126413"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref3","first-page":"1106","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref6","author":"everingham","year":"0"},{"key":"ref5","year":"0"},{"key":"ref8","first-page":"647","article-title":"Decaf: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"0","journal-title":"Proc ICML"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.131"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.476"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.222"},{"key":"ref46","first-page":"774","article-title":"Negative evidences and co-occurences in image retrieval: The benefit of PCA and whitening","author":"j\u00e9gou","year":"0","journal-title":"Proc 12th Eur Conf Comput Vis"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995330"},{"key":"ref47","article-title":"A baseline for visual instance retrieval with deep convolutional networks","author":"razavian","year":"0","journal-title":"Proc ICLR Workshop"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.80"},{"key":"ref41","article-title":"Return of the devil in the details: Delving deep into convolutional nets","author":"chatfield","year":"0","journal-title":"arxiv 1405 3531 [cs CV]"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.5"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/7530937\/07328311.pdf?arnumber=7328311","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:45:59Z","timestamp":1641987959000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7328311\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9,1]]},"references-count":56,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2015.2500224","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":[[2016,9,1]]}}}