{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T13:19:37Z","timestamp":1753881577890,"version":"3.41.2"},"reference-count":43,"publisher":"World Scientific Pub Co Pte Ltd","issue":"09","funder":[{"name":"the Key Scientific and Technological Project of Henan Province","award":["242102110171"],"award-info":[{"award-number":["242102110171"]}]},{"name":"the Henan Province Higher Education Teaching Reform Research Project","award":["2021SJGLX321"],"award-info":[{"award-number":["2021SJGLX321"]}]},{"name":"the Key Scientific Research Projects of Colleges and Universities in Henan Province","award":["21A520051"],"award-info":[{"award-number":["21A520051"]}]},{"name":"the Key Scientific and Technological Project of Henan Province","award":["232102320147"],"award-info":[{"award-number":["232102320147"]}]},{"name":"the Key Scientific and Technological Project of Henan Province","award":["242102320169"],"award-info":[{"award-number":["242102320169"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2024,7]]},"abstract":"<jats:p> The application of deep hashing methods for cross-modal retrieval has seen growing interest due to their storage efficiency and fast query execution. However, the challenge posed by the \u201cheterogeneity gap\u201d in multi-modal datasets cannot be understated. To address this, we present a novel framework named Dual-Pathway Deep Hashing-Based Adversarial Learning (DP-DHAL), engineered to surmount this challenge. The architecture of DP-DHAL integrates three key components: (a) a dual-pathway representation learning module tasked with extracting modality-specific features; (b) an adversarial module working to align the distributions of cross-modal features; and (c) a deep hashing module responsible for generating hash codes that uphold the similarity relationships across different modalities. Additionally, we have developed a unique Hamming triplet-margin loss function to refine the assessment of content similarities. The DP-DHAL model is trained through an adversarial process where the adversarial module\u2019s goal is to discern cross-modal features with the aim of reducing the heterogeneity gap. Simultaneously, the representation learning module is focused on producing representations that can both deceive the adversarial module and preserve cross-modal similarities to yield distinctive hash codes. Comprehensive experiments on varied datasets have shown that our proposed method outperforms other leading cross-modal hashing techniques. <\/jats:p>","DOI":"10.1142\/s0218001424510170","type":"journal-article","created":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T09:55:53Z","timestamp":1717149353000},"source":"Crossref","is-referenced-by-count":0,"title":["Dual-Pathway Deep Hashing-Based Adversarial Learning for Cross-Modal Retrieval"],"prefix":"10.1142","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-8393-1496","authenticated-orcid":false,"given":"Zheng","family":"Zhang","sequence":"first","affiliation":[{"name":"Resource Construction and Management Center, Henan Open University, Zhengzhou 450046, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yueyang","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Henan Open University, Zhengzhou 450046, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Henan Open University, Zhengzhou 450046, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lishen","family":"Pei","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Henan University of Economics and Law, Zhengzhou 450046, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2024,6,29]]},"reference":[{"key":"S0218001424510170BIB001","doi-asserted-by":"publisher","DOI":"10.1145\/3372278.3390711"},{"key":"S0218001424510170BIB002","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539928"},{"key":"S0218001424510170BIB003","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11218"},{"key":"S0218001424510170BIB004","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646452"},{"key":"S0218001424510170BIB005","first-page":"913","volume-title":"Int. Conf. Machine Learning","author":"Dai B.","year":"2017"},{"key":"S0218001424510170BIB006","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2821921"},{"key":"S0218001424510170BIB007","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3080920"},{"key":"S0218001424510170BIB008","doi-asserted-by":"publisher","DOI":"10.1145\/2808205"},{"key":"S0218001424510170BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.17"},{"key":"S0218001424510170BIB010","first-page":"2672","volume-title":"Advances in Neural Information Processing Systems","volume":"27","author":"Goodfellow I.","year":"2014"},{"key":"S0218001424510170BIB011","doi-asserted-by":"publisher","DOI":"10.1145\/3323873.3325045"},{"key":"S0218001424510170BIB012","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"S0218001424510170BIB013","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4380-9_14"},{"key":"S0218001424510170BIB014","doi-asserted-by":"publisher","DOI":"10.1145\/1460096.1460104"},{"key":"S0218001424510170BIB015","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12204362"},{"key":"S0218001424510170BIB016","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.348"},{"key":"S0218001424510170BIB018","first-page":"1106","volume-title":"Advances in Neural Information Processing Systems","volume":"25","author":"Krizhevsky A.","year":"2012"},{"key":"S0218001424510170BIB019","first-page":"1360","volume-title":"22nd Int. Joint Conf. Artificial Intelligence","author":"Kumar S.","year":"2011"},{"key":"S0218001424510170BIB020","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00446"},{"key":"S0218001424510170BIB021","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911493"},{"key":"S0218001424510170BIB022","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i3.16345"},{"key":"S0218001424510170BIB023","first-page":"885","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Qiao T.","year":"2019"},{"key":"S0218001424510170BIB024","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00160"},{"key":"S0218001424510170BIB025","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.466"},{"key":"S0218001424510170BIB026","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00350"},{"key":"S0218001424510170BIB027","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00289"},{"key":"S0218001424510170BIB028","first-page":"806","volume-title":"Proc. 32nd Int. Conf. Neural Information Processing Systems","author":"Su S.","year":"2018"},{"key":"S0218001424510170BIB029","first-page":"5998","volume-title":"Conf. Neural Information Processing Systems","author":"Vaswani A.","year":"2017"},{"key":"S0218001424510170BIB030","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123326"},{"key":"S0218001424510170BIB031","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2963957"},{"journal-title":"ACM Trans. Multimedia Comput. Commun. Appl.","year":"2024","author":"Yan G.","key":"S0218001424510170BIB032"},{"key":"S0218001424510170BIB033","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.111353"},{"key":"S0218001424510170BIB034","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10719"},{"key":"S0218001424510170BIB035","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401150"},{"key":"S0218001424510170BIB036","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.12"},{"key":"S0218001424510170BIB037","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16592"},{"key":"S0218001424510170BIB038","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8995"},{"key":"S0218001424510170BIB039","doi-asserted-by":"publisher","DOI":"10.1145\/3469877.3490589"},{"key":"S0218001424510170BIB040","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_36"},{"key":"S0218001424510170BIB041","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01064"},{"key":"S0218001424510170BIB042","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.04.037"},{"issue":"4","key":"S0218001424510170BIB043","first-page":"1478","volume":"31","author":"Zhu L.","year":"2021","journal-title":"T-CSVT"},{"key":"S0218001424510170BIB044","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2020.116131"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001424510170","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T05:44:15Z","timestamp":1721367855000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S0218001424510170"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,29]]},"references-count":43,"journal-issue":{"issue":"09","published-print":{"date-parts":[[2024,7]]}},"alternative-id":["10.1142\/S0218001424510170"],"URL":"https:\/\/doi.org\/10.1142\/s0218001424510170","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"type":"print","value":"0218-0014"},{"type":"electronic","value":"1793-6381"}],"subject":[],"published":{"date-parts":[[2024,6,29]]},"article-number":"2451017"}}