{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T11:12:05Z","timestamp":1784718725946,"version":"3.55.0"},"reference-count":68,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2018AAA0102002"],"award-info":[{"award-number":["2018AAA0102002"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20B2064"],"award-info":[{"award-number":["U20B2064"]}],"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":["62102181"],"award-info":[{"award-number":["62102181"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["30923010915"],"award-info":[{"award-number":["30923010915"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tmm.2023.3310333","type":"journal-article","created":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T17:25:44Z","timestamp":1693416344000},"page":"3392-3404","source":"Crossref","is-referenced-by-count":25,"title":["Self-Paced Relational Contrastive Hashing for Large-Scale Image Retrieval"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-7821-6950","authenticated-orcid":false,"given":"Zhengyun","family":"Lu","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2964-426X","authenticated-orcid":false,"given":"Lu","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5341-5985","authenticated-orcid":false,"given":"Zechao","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9008-222X","authenticated-orcid":false,"given":"Jinhui","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3240195"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2421443"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2636870"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2477035"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2797248"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00306"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2852750"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2947358"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2929068"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2710186"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2995267"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00315"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01331-0"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2749160"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3131042"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.227"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2776745"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.598"},{"key":"ref20","article-title":"Cross-modal learning with adversarial samples","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Li","year":"2019"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00134"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2969792"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2869601"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2929957"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298947"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2715227"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2467315"},{"key":"ref28","first-page":"806","article-title":"Greedy hash: Towards fast optimization for accurate hash coding in CNN","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Su","year":"2018"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2883522"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3044473"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/115"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00446"},{"key":"ref33","first-page":"24286","article-title":"One loss for all: Deep hashing with a single cosine similarity based learning objective","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Hoe","year":"2021"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2816743"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00923"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2023.3248170"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1360\/SST-2021-0214"},{"key":"ref38","first-page":"1753","article-title":"Spectral hashing","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Weiss","year":"2008"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459466"},{"key":"ref40","first-page":"353","article-title":"Minimal loss hashing for compact binary codes","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Norouzi","year":"2011"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.193"},{"key":"ref42","first-page":"1061","article-title":"Hamming distance metric learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Norouzi","year":"2012"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298598"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref45","first-page":"22243","article-title":"Big self-supervised models are strong semi-supervised learners","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Chen","year":"2020"},{"key":"ref46","first-page":"9729","article-title":"Momentum contrast for unsupervised visual representation learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"He","year":"2020"},{"key":"ref47","article-title":"Improved baselines with momentum contrastive learning","author":"Chen","year":"2020"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00950"},{"key":"ref49","first-page":"9912","article-title":"Unsupervised learning of visual features by contrasting cluster assignments","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Caron","year":"2020"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.5555\/3495724.3497510"},{"key":"ref51","first-page":"12310","article-title":"Barlow twins: Self-supervised learning via redundancy reduction","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zbontar","year":"2021"},{"key":"ref52","first-page":"18661","article-title":"Supervised contrastive learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Khosla","year":"2020"},{"key":"ref53","first-page":"21357","article-title":"ContraGAN: Contrastive learning for conditional image generation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Kang","year":"2020"},{"key":"ref54","first-page":"4463","article-title":"Deep unsupervised contrastive hashing for large-scale cross-modal text-image retrieval in remote sensing","volume-title":"IEEE Int. Conf. Acoustics, Speech Signal Process.","author":"Mikriukov","year":"2022"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3177356"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/133"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20147"},{"key":"ref58","first-page":"1189","article-title":"Self-paced learning for latent variable models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Kumar","year":"2010"},{"key":"ref59","first-page":"2078","article-title":"Self-paced learning with diversity","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Jiang","year":"2014"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2652459"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_9"},{"key":"ref62","first-page":"2304","article-title":"MentorNet: Learning data-driven curriculum for very deep neural networks on corrupted labels","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Jiang","year":"2018"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1112-4"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6773"},{"key":"ref65","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646452"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/10384483\/10234666.pdf?arnumber=10234666","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T07:24:27Z","timestamp":1725693867000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10234666\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":68,"URL":"https:\/\/doi.org\/10.1109\/tmm.2023.3310333","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}