{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T20:20:03Z","timestamp":1775420403107,"version":"3.50.1"},"reference-count":68,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"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\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702498"],"award-info":[{"award-number":["61702498"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Key Research Program of Frontier Sciences, Chinese Academy of Sciences","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"}]},{"name":"National Key R&D Program of China","award":["2017YFB0502900"],"award-info":[{"award-number":["2017YFB0502900"]}]},{"DOI":"10.13039\/501100002367","name":"CAS Light of West China Program","doi-asserted-by":"publisher","award":["XAB2017B15"],"award-info":[{"award-number":["XAB2017B15"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2020,8]]},"DOI":"10.1109\/tnnls.2019.2935118","type":"journal-article","created":{"date-parts":[[2019,9,11]],"date-time":"2019-09-11T19:43:17Z","timestamp":1568230997000},"page":"3032-3046","source":"Crossref","is-referenced-by-count":10,"title":["Siamese Dilated Inception Hashing With Intra-Group Correlation Enhancement for Image Retrieval"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7037-5188","authenticated-orcid":false,"given":"Xiaoqiang","family":"Lu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2903-6723","authenticated-orcid":false,"given":"Yaxiong","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2924-946X","authenticated-orcid":false,"given":"Xuelong","family":"Li","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2964324"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301269"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2771332"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.48"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2882155"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2781422"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2821921"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.165"},{"key":"ref35","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":"ref34","first-page":"1061","article-title":"Hamming distance metric learning","author":"norouzi","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2882816"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2755766"},{"key":"ref61","first-page":"1","article-title":"Asymmetric deep supervised hashing","author":"jiang","year":"2018","journal-title":"Proc AAAI"},{"key":"ref63","first-page":"353","article-title":"Minimal loss hashing for compact binary codes","author":"norouzi","year":"2011","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IPTA.2016.7821007"},{"key":"ref64","first-page":"4321","article-title":"Deep saliency hashing for fine-grained retrieval","author":"jin","year":"2018","journal-title":"Proc ACM Multimedia Conf"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2474742"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2891894"},{"key":"ref66","first-page":"1328","article-title":"Deep visual-semantic quantization for efficient image retrieval","author":"yue","year":"2017","journal-title":"Proc IEEE Int Conf Comput Vis Pattern Recognit"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298862"},{"key":"ref67","first-page":"1655","article-title":"Isotropic hashing","author":"kong","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref68","first-page":"142","article-title":"Learning hash functions using column generation","author":"li","year":"2013","journal-title":"Proc ICML"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2766445"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2873547"},{"key":"ref20","first-page":"2415","article-title":"Deep hashing network for efficient similarity retrieval","author":"zhu","year":"2016","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2519449"},{"key":"ref21","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc ACM Int Conf Multimedia"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.219"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2608906"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2652730"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.378"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_9"},{"key":"ref51","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.117"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2283497"},{"key":"ref57","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":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539970"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.223"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995566"},{"key":"ref53","article-title":"The MNIST database of handwritten digits","author":"lecun","year":"1998"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.272"},{"key":"ref10","first-page":"2074","article-title":"Supervised hashing with kernels","author":"liu","year":"2012","journal-title":"Proc IEEE Int Conf Comput Vis Pattern Recognit"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.377"},{"key":"ref40","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":"ref12","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011139631724"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/34.895972"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2008.11.006"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587633"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.227"},{"key":"ref18","first-page":"1269","article-title":"Aggregating deep convolutional features for image retrieval","author":"babenko","year":"2015","journal-title":"Proc ICCV"},{"key":"ref19","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":"ref4","first-page":"518","article-title":"Similarity search in high dimensions via hashing","author":"gionis","year":"1999","journal-title":"Proc VLDB"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-016-5528-6"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2627801"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995432"},{"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","volume":"39","author":"hyv\u00e4rinen","year":"2009","journal-title":"Natural Image Statistics A Probabilistic Approach to Early Computational Vision"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2467315"},{"key":"ref46","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc Int Conf Int Conf Mach Learn"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2606441"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2595620"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299173"},{"key":"ref42","first-page":"1","article-title":"Going deeper with convolutions","author":"szegedy","year":"2014","journal-title":"Proc ACM Int Conf Multimedia"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2864894"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00163"},{"key":"ref43","first-page":"1","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2016","journal-title":"Proc ICLR"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9154775\/08833507.pdf?arnumber=8833507","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:19:39Z","timestamp":1651079979000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8833507\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8]]},"references-count":68,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2019.2935118","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8]]}}}