{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T02:05:48Z","timestamp":1776132348680,"version":"3.50.1"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2017,5,1]],"date-time":"2017-05-01T00:00:00Z","timestamp":1493596800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.1109\/lsp.2017.2665522","type":"journal-article","created":{"date-parts":[[2017,2,7]],"date-time":"2017-02-07T21:04:56Z","timestamp":1486501496000},"page":"609-613","source":"Crossref","is-referenced-by-count":38,"title":["MS-RMAC: Multiscale Regional Maximum Activation of Convolutions for Image Retrieval"],"prefix":"10.1109","volume":"24","author":[{"given":"Yang","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yulong","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiabao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuang","family":"Miao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yafei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2671188.2749345"},{"key":"ref30","first-page":"5153","article-title":"Pairwise geometric\n matching for large-scale object retrieval","author":"li","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540039"},{"key":"ref11","article-title":"A baseline for visual instance\n retrieval with deep convolutional networks","author":"razavian","year":"2014"},{"key":"ref12","first-page":"1269","article-title":"Aggregating deep convolutional features for image retrieval","author":"babenko","year":"0","journal-title":"Proc Int Conf Comput Vis"},{"key":"ref13","first-page":"685","article-title":"Cross-dimensional weighting for aggregated deep convolutional features","author":"kalantidis","year":"0","journal-title":"Proc Eur Conf Comput Vis Workshops"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.19"},{"key":"ref15","first-page":"1","article-title":"Particular\n object retrieval with integral maxpooling of CNN activations","author":"tolias","year":"0","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2582783"},{"key":"ref17","first-page":"21","article-title":"SSD: Single shot multiBox\n detector","author":"liu","year":"0","journal-title":"Proc Eur Comput Vis Conf"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301272"},{"key":"ref19","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298783"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref27","first-page":"241","article-title":"Deep image retrieval:\n Learning global representations for image search","author":"gordo","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.279"},{"key":"ref29","first-page":"605","article-title":"Early burst\n detection for memory-efficient image retrieval","author":"shi","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref8","first-page":"584","article-title":"Neural codes for image retrieval","author":"babenko","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.131"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.121"},{"key":"ref9","first-page":"392","article-title":"Multi-scale orderless pooling of deep\n convolutional activation features","author":"gong","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref1","article-title":"SIFT meets\n CNN: A decade survey of instance retrieval","author":"zheng","year":"2016"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298636"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383172"},{"key":"ref21","first-page":"304","article-title":"Hamming\n embedding and weak geometry consistency for large scale image search","author":"jegou","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2807412"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587635"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.572"},{"key":"ref25","first-page":"297","article-title":"A\n parameter-free hedging algorithm","author":"chaudhuri","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/7885156\/07845566.pdf?arnumber=7845566","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:27:49Z","timestamp":1642004869000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7845566\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5]]},"references-count":31,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/lsp.2017.2665522","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,5]]}}}