{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T04:54:06Z","timestamp":1769403246598,"version":"3.49.0"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61761130079"],"award-info":[{"award-number":["61761130079"]}],"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":["61472413"],"award-info":[{"award-number":["61472413"]}],"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":["61772510"],"award-info":[{"award-number":["61772510"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Key Research Program of Frontier Sciences, CAS","doi-asserted-by":"publisher","award":["QYZDY-SSW-JSC044"],"award-info":[{"award-number":["QYZDY-SSW-JSC044"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Young Top-notch Talent Program of Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["QYZDB-SSW-JSC015"],"award-info":[{"award-number":["QYZDB-SSW-JSC015"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2018,1]]},"DOI":"10.1109\/tip.2017.2755766","type":"journal-article","created":{"date-parts":[[2017,9,22]],"date-time":"2017-09-22T18:16:10Z","timestamp":1506104170000},"page":"106-120","source":"Crossref","is-referenced-by-count":111,"title":["Hierarchical Recurrent Neural Hashing for Image Retrieval With Hierarchical Convolutional Features"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7037-5188","authenticated-orcid":false,"given":"Xiaoqiang","family":"Lu","sequence":"first","affiliation":[]},{"given":"Yaxiong","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Xuelong","family":"Li","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref72","first-page":"142","article-title":"Learning hash functions using column generation","author":"li","year":"2013","journal-title":"Proc ICML"},{"key":"ref71","first-page":"1655","article-title":"Isotropic hashing","author":"kong","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref70","first-page":"353","article-title":"Minimal loss hashing for compact binary codes","author":"norouzi","year":"2011","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref39","first-page":"2924","article-title":"On the number of linear regions of deep neural networks","author":"mont\u00fafar","year":"2014","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.227"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699960"},{"key":"ref32","first-page":"685","article-title":"Cross-dimensional weighting for aggregated deep convolutional features","author":"kalantidis","year":"2015","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3169\/mta.4.251"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2495161"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.165"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.219"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2709749"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0889-2"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995566"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539970"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.223"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.6"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806493"},{"key":"ref64","first-page":"248","article-title":"ImageNet: A large-scale hierarchical image database","author":"deng","year":"2009","journal-title":"Proc IEEE Int Conf Comput Vis Pattern Recognit"},{"key":"ref27","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2807412"},{"key":"ref66","author":"le","year":"2015","journal-title":"A simple way to initialize recurrent networks of rectified linear units"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0907-4"},{"key":"ref67","author":"graves","year":"2013","journal-title":"Generating Sequences with Recurrent Neural Networks"},{"key":"ref68","author":"chung","year":"2017","journal-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582924"},{"key":"ref2","first-page":"518","article-title":"Similarity search in high dimensions via hashing","author":"gionis","year":"1999","journal-title":"Proc VLDB"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2627801"},{"key":"ref20","first-page":"2156","article-title":"Supervised hashing for image retrieval via image representation learning","author":"xia","year":"2014","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref22","author":"tolias","year":"2016","journal-title":"Particular object retrieval with integral max-pooling of cnn activations"},{"key":"ref21","author":"zheng","year":"2016","journal-title":"Good Practice in CNN Feature Transfer"},{"key":"ref24","author":"zhang","year":"2016","journal-title":"SSDH Semi-supervised deep hashing for large scale image retrieval"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.117"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.496"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.352"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.175"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24797-2"},{"key":"ref59","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.272"},{"key":"ref57","author":"lecun","year":"1998","journal-title":"The MNIST Database of Handwritten Digits"},{"key":"ref56","article-title":"Neural networks for machine learning","author":"tieleman","year":"2012"},{"key":"ref55","volume":"39","author":"hyv\u00e4rinen","year":"2009","journal-title":"Natural Image Statistics A Probabilistic Approach to Early Computational Vision"},{"key":"ref54","author":"yang","year":"2015","journal-title":"Supervised learning of semantics-preserving hash via deep convolutional neural networks"},{"key":"ref53","first-page":"2415","article-title":"Deep hashing network for efficient similarity retrieval","author":"zhu","year":"2016","journal-title":"Proc AAAI"},{"key":"ref52","first-page":"1230","article-title":"Column sampling based discrete supervised hashing","author":"kang","year":"2016","journal-title":"Proc AAAI"},{"key":"ref10","article-title":"Learning task-specific similarity","author":"shakhnarovich","year":"2005"},{"key":"ref11","first-page":"1061","article-title":"Hamming distance metric learning","author":"norouzi","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref40","first-page":"122","article-title":"On the number of linear regions of deep neural networks","volume":"39","author":"mont\u00fafar","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.377"},{"key":"ref13","first-page":"1042","article-title":"Learning to hash with binary reconstructive embeddings","author":"kulis","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref14","first-page":"2074","article-title":"Supervised hashing with kernels","author":"liu","year":"2012","journal-title":"Proc IEEE Int Conf Comput Vis Pattern Recognit"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011139631724"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2008.11.006"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587633"},{"key":"ref19","first-page":"1269","article-title":"Aggregating local deep features for image retrieval","author":"babenko","year":"2015","journal-title":"Proc ICCV"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-016-5528-6"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995432"},{"key":"ref6","first-page":"1509","article-title":"Locality-sensitive binary codes from shift-invariant kernels","author":"raginsky","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587841"},{"key":"ref8","first-page":"1556","article-title":"Deep semantic ranking based hashing for multi-label image retrieval","author":"zhao","year":"2015","journal-title":"Proc IEEE Int Conf Comput Vis Pattern Recognit"},{"key":"ref7","first-page":"1753","article-title":"Spectral hashing","author":"weiss","year":"2008","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref49","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2467315"},{"key":"ref46","first-page":"1711","article-title":"Feature learning based deep supervised hashing with pairwise labels","author":"li","year":"2016","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_14"},{"key":"ref48","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298947"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/IPTA.2016.7821007"},{"key":"ref41","author":"kim","year":"2015","journal-title":"Character-Aware Neural Language Models"},{"key":"ref44","author":"do","year":"2015","journal-title":"Discrete hashing with deep neural network"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298862"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8071125\/08048518.pdf?arnumber=8048518","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T17:03:03Z","timestamp":1642006983000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8048518\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1]]},"references-count":72,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tip.2017.2755766","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1]]}}}