{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T01:59:17Z","timestamp":1781315957065,"version":"3.54.1"},"reference-count":68,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T00:00:00Z","timestamp":1754438400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T00:00:00Z","timestamp":1754438400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1007\/s13042-025-02770-2","type":"journal-article","created":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T13:24:20Z","timestamp":1754486660000},"page":"9569-9587","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Dual-stage hash-aware distillation for unsupervised cross-modal hashing retrieval"],"prefix":"10.1007","volume":"16","author":[{"given":"Xinsheng","family":"Shu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruiheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingyong","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,8,6]]},"reference":[{"issue":"3","key":"2770_CR1","first-page":"3877","volume":"45","author":"P Hu","year":"2022","unstructured":"Hu P, Zhu H, Lin J, Peng D, Zhao Y-P, Peng X (2022) Unsupervised contrastive cross-modal hashing. IEEE Trans Pattern Anal Mach Intell 45(3):3877\u20133889","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"2770_CR2","doi-asserted-by":"crossref","unstructured":"Su S, Zhong Z, Zhang C (2019) Deep joint-semantics reconstructing hashing for large-scale unsupervised cross-modal retrieval. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp 3027\u20133035","DOI":"10.1109\/ICCV.2019.00312"},{"key":"2770_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106211","volume":"174","author":"J Cui","year":"2024","unstructured":"Cui J, He Z, Huang Q, Fu Y, Li Y, Wen J (2024) Structure-aware contrastive hashing for unsupervised cross-modal retrieval. Neural Netw 174:106211","journal-title":"Neural Netw"},{"key":"2770_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101968","volume":"100","author":"X Xia","year":"2023","unstructured":"Xia X, Dong G, Li F, Zhu L, Ying X (2023) When clip meets cross-modal hashing retrieval: a new strong baseline. Information Fusion 100:101968","journal-title":"Information Fusion"},{"key":"2770_CR5","unstructured":"An X, Deng J, Yang K, Li J, Feng Z, Guo J, Yang J, Liu T (2023) Unicom: Universal and compact representation learning for image retrieval. arXiv preprint arXiv:2304.05884"},{"key":"2770_CR6","doi-asserted-by":"crossref","unstructured":"Reimers N (2019) Sentence-bert: Sentence embeddings using siamese bert-networks. arXiv preprint arXiv:1908.10084","DOI":"10.18653\/v1\/D19-1410"},{"key":"2770_CR7","unstructured":"Dosovitskiy A, Beyer L, Kolesnikov A, Weissenborn D, Zhai X, Unterthiner T, Dehghani M, Minderer M, Heigold G, Gelly S, et al. (2020) An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929"},{"key":"2770_CR8","unstructured":"Radford A, Kim JW, Hallacy C, Ramesh A, Goh G, Agarwal S, Sastry G, Askell A, Mishkin P, Clark J, et al. (2021) Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning, pp 8748\u20138763. PMLR"},{"key":"2770_CR9","unstructured":"Hinton G, Vinyals O, Dean J (2015) Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531"},{"key":"2770_CR10","doi-asserted-by":"publisher","first-page":"6530","DOI":"10.1109\/TCSVT.2024.3350695","volume":"34","author":"J Li","year":"2024","unstructured":"Li J, Wong WK, Jiang L, Fang X, Xie S, Xu Y (2024) CKDH: clip-based knowledge distillation hashing for cross-modal retrieval. IEEE Trans Circuits Syst Video Technol 34:6530","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"2770_CR11","doi-asserted-by":"crossref","unstructured":"Hu H, Xie L, Hong R, Tian Q (2020) Creating something from nothing: Unsupervised knowledge distillation for cross-modal hashing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp 3123\u20133132","DOI":"10.1109\/CVPR42600.2020.00319"},{"key":"2770_CR12","doi-asserted-by":"crossref","unstructured":"Zhang P-F, Duan J, Huang Z, Yin H (2021) Joint-teaching: Learning to refine knowledge for resource-constrained unsupervised cross-modal retrieval. In: Proceedings of the 29th ACM International Conference on Multimedia, pp 1517\u20131525","DOI":"10.1145\/3474085.3475286"},{"key":"2770_CR13","doi-asserted-by":"crossref","unstructured":"Li M, Wang H (2021) Unsupervised deep cross-modal hashing by knowledge distillation for large-scale cross-modal retrieval. In: Proceedings of the 2021 International Conference on Multimedia Retrieval, pp 183\u2013191","DOI":"10.1145\/3460426.3463626"},{"issue":"7","key":"2770_CR14","doi-asserted-by":"publisher","first-page":"3529","DOI":"10.1109\/TCSVT.2023.3234037","volume":"33","author":"Z Xi","year":"2023","unstructured":"Xi Z, Wang X, Cheng P (2023) Unsupervised hashing retrieval via efficient correlation distillation. IEEE Trans Circuits Syst Video Technol 33(7):3529\u20133541","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"2770_CR15","doi-asserted-by":"crossref","unstructured":"Yu Y, Liang M, Yin M, Lu K, Du J, Xue Z (2024) Unsupervised multimodal graph contrastive semantic anchor space dynamic knowledge distillation network for cross-media hash retrieval. In: 2024 IEEE 40th International Conference on Data Engineering (ICDE), pp 4699\u20134708. IEEE","DOI":"10.1109\/ICDE60146.2024.00357"},{"issue":"9","key":"2770_CR16","doi-asserted-by":"publisher","first-page":"6289","DOI":"10.1109\/TNNLS.2021.3135420","volume":"34","author":"T Hoang","year":"2022","unstructured":"Hoang T, Do T-T, Nguyen TV, Cheung N-M (2022) Multimodal mutual information maximization: a novel approach for unsupervised deep cross-modal hashing. IEEE Trans Neural Netw Learn Syst 34(9):6289\u20136302","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"2770_CR17","doi-asserted-by":"crossref","unstructured":"Ding G, Guo Y, Zhou J (2014) Collective matrix factorization hashing for multimodal data. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 2075\u20132082","DOI":"10.1109\/CVPR.2014.267"},{"key":"2770_CR18","doi-asserted-by":"crossref","unstructured":"Zhang D, Wu X-J, Yu J (2021) Discrete bidirectional matrix factorization hashing for zero-shot cross-media retrieval. In: Chinese Conference on Pattern Recognition and Computer Vision (PRCV), pp 524\u2013536. Springer","DOI":"10.1007\/978-3-030-88007-1_43"},{"issue":"7","key":"2770_CR19","doi-asserted-by":"publisher","first-page":"5947","DOI":"10.1109\/TCYB.2020.3032017","volume":"52","author":"D Zhang","year":"2020","unstructured":"Zhang D, Wu X-J (2020) Scalable discrete matrix factorization and semantic autoencoder for cross-media retrieval. IEEE Trans Cybernet 52(7):5947\u20135960","journal-title":"IEEE Trans Cybernet"},{"issue":"12","key":"2770_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3696453","volume":"20","author":"X Liu","year":"2024","unstructured":"Liu X, Li J, Nie X, Zhang X, Yin Y (2024) Fast unsupervised cross-modal hashing with robust factorization and dual projection. ACM Trans Multimed Comput Commun Appl 20(12):1\u201321","journal-title":"ACM Trans Multimed Comput Commun Appl"},{"key":"2770_CR21","doi-asserted-by":"crossref","unstructured":"Zhu X, Huang Z, Shen HT, Zhao X (2013) Linear cross-modal hashing for efficient multimedia search. In: Proceedings of the 21st ACM International Conference on Multimedia, pp 143\u2013152","DOI":"10.1145\/2502081.2502107"},{"key":"2770_CR22","doi-asserted-by":"crossref","unstructured":"Li X, Hu D, Nie F (2017) Deep binary reconstruction for cross-modal hashing. In: Proceedings of the 25th ACM International Conference on Multimedia, pp 1398\u20131406","DOI":"10.1145\/3123266.3123355"},{"key":"2770_CR23","doi-asserted-by":"publisher","first-page":"5296","DOI":"10.1109\/TCSVT.2023.3251395","volume":"33","author":"R-C Tu","year":"2023","unstructured":"Tu R-C, Jiang J, Lin Q, Cai C, Tian S, Wang H, Liu W (2023) Unsupervised cross-modal hashing with modality-interaction. IEEE Trans Circuits Syst Video Technol 33:5296","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"2770_CR24","doi-asserted-by":"crossref","unstructured":"Wang B, Yang Y, Xu X, Hanjalic A, Shen HT (2017) Adversarial cross-modal retrieval. In: Proceedings of the 25th ACM International Conference on Multimedia, pp 154\u2013162","DOI":"10.1145\/3123266.3123326"},{"key":"2770_CR25","doi-asserted-by":"crossref","unstructured":"Zhang J, Peng Y, Yuan M (2018) Unsupervised generative adversarial cross-modal hashing. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol 32","DOI":"10.1609\/aaai.v32i1.11263"},{"key":"2770_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121516","volume":"237","author":"D Yao","year":"2024","unstructured":"Yao D, Li Z, Li B, Zhang C, Ma H (2024) Similarity graph-correlation reconstruction network for unsupervised cross-modal hashing. Expert Syst Appl 237:121516","journal-title":"Expert Syst Appl"},{"key":"2770_CR27","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1109\/TMM.2021.3053766","volume":"24","author":"P-F Zhang","year":"2021","unstructured":"Zhang P-F, Li Y, Huang Z, Xu X-S (2021) Aggregation-based graph convolutional hashing for unsupervised cross-modal retrieval. IEEE Trans Multimedia 24:466\u2013479","journal-title":"IEEE Trans Multimedia"},{"key":"2770_CR28","unstructured":"Wang J, Zeng Z, Chen B, Wang Y, Liao D, Li G, Wang Y, Xia S-T, Intelligence PC (2022) Hugs are better than handshakes: Unsupervised cross-modal transformer hashing with multi-granularity alignment. In: BMVC, p 1035"},{"key":"2770_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.128844","volume":"614","author":"Y Wu","year":"2025","unstructured":"Wu Y, Li B, Li Z (2025) Revising similarity relationship hashing for unsupervised cross-modal retrieval. Neurocomputing 614:128844","journal-title":"Neurocomputing"},{"issue":"23","key":"2770_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11042-023-18048-0","volume":"83","author":"Y Chen","year":"2024","unstructured":"Chen Y, Tan J, Yang Z, Shi Y, Qin J (2024) Unsupervised multi-perspective fusing semantic alignment for cross-modal hashing retrieval. Multimedia Tools Appl 83(23):1\u201322","journal-title":"Multimedia Tools Appl"},{"key":"2770_CR31","unstructured":"Chen B, Wu Z, Liu Y, Zeng B, Lu G, Zhang Z (2024) Enhancing cross-modal retrieval via visual-textual prompt hashing. In: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, pp 623\u2013631"},{"key":"2770_CR32","doi-asserted-by":"crossref","unstructured":"Wu Y, Li Z (2024) Mining similarity relationships for unsupervised cross-modal hashing. In: 2024 IEEE International Conference on Multimedia and Expo (ICME), pp 1\u20136. IEEE","DOI":"10.1109\/ICME57554.2024.10687927"},{"issue":"8","key":"2770_CR33","doi-asserted-by":"publisher","first-page":"2765","DOI":"10.1007\/s11263-024-02009-7","volume":"132","author":"J Wang","year":"2024","unstructured":"Wang J, Zeng Z, Chen B, Wang Y, Liao D, Li G, Wang Y, Xia S-T (2024) Hugs bring double benefits: unsupervised cross-modal hashing with multi-granularity aligned transformers. Int J Comput Vision 132(8):2765\u20132797","journal-title":"Int J Comput Vision"},{"key":"2770_CR34","doi-asserted-by":"publisher","first-page":"514","DOI":"10.1109\/TBDATA.2024.3350541","volume":"10","author":"X Liu","year":"2024","unstructured":"Liu X, Li J, Nie X, Zhang X, Wang S, Yin Y (2024) Scalable unsupervised hashing via exploiting robust cross-modal consistency. IEEE Trans Big Data 10:514","journal-title":"IEEE Trans Big Data"},{"key":"2770_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.127911","volume":"595","author":"H Meng","year":"2024","unstructured":"Meng H, Zhang H, Liu L, Liu D, Lu X, Guo X (2024) Joint-modal graph convolutional hashing for unsupervised cross-modal retrieval. Neurocomputing 595:127911","journal-title":"Neurocomputing"},{"issue":"5","key":"2770_CR36","first-page":"3729","volume":"16","author":"X Deng","year":"2024","unstructured":"Deng X, Liu Z, Li P (2024) Dual variational network for unsupervised cross-modal hashing. Int J Mach Learn Cybern 16(5):3729\u20133746","journal-title":"Int J Mach Learn Cybern"},{"issue":"2","key":"2770_CR37","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1007\/s41019-024-00274-7","volume":"10","author":"M Li","year":"2025","unstructured":"Li M, Ge M (2025) Enhanced-similarity attention fusion for unsupervised cross-modal hashing retrieval. Data Sci Eng 10(2):258\u2013276","journal-title":"Data Sci Eng"},{"key":"2770_CR38","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3251395","author":"X Liu","year":"2025","unstructured":"Liu X, Zeng H, Shi Y, Zhu J, Yang K, Yu Z (2025) Ensemble prototype networks for unsupervised cross-modal hashing with cross-task consistency. IEEE Trans Multimedia. https:\/\/doi.org\/10.1109\/TCSVT.2023.3251395","journal-title":"IEEE Trans Multimedia"},{"issue":"2","key":"2770_CR39","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2024.103958","volume":"62","author":"Y Chen","year":"2025","unstructured":"Chen Y, Long Y, Yang Z, Long J (2025) Unsupervised adaptive hypergraph correlation hashing for multimedia retrieval. Inform Process Manag 62(2):103958","journal-title":"Inform Process Manag"},{"issue":"1","key":"2770_CR40","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1109\/TPAMI.2024.3467130","volume":"47","author":"B Zhang","year":"2024","unstructured":"Zhang B, Zhang Y, Li J, Chen J, Akutsu T, Cheung Y-M, Cai H (2024) Unsupervised dual deep hashing with semantic-index and content-code for cross-modal retrieval. IEEE Trans Pattern Anal Mach Intell 47(1):387\u2013399","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"2770_CR41","doi-asserted-by":"publisher","first-page":"9109","DOI":"10.1109\/TMM.2024.3385986","volume":"26","author":"H Cai","year":"2024","unstructured":"Cai H, Zhang B, Li J, Hu B, Chen J (2024) Unsupervised dual hashing coding (UDC) on semantic tagging and sample content for cross-modal retrieval. IEEE Trans Multimed 26:9109","journal-title":"IEEE Trans Multimed"},{"key":"2770_CR42","unstructured":"Chen T, Kornblith S, Norouzi M, Hinton G (2020) A simple framework for contrastive learning of visual representations. In: International Conference on Machine Learning, pp 1597\u20131607. PMLR"},{"key":"2770_CR43","doi-asserted-by":"crossref","unstructured":"He K, Fan H, Wu Y, Xie S, Girshick R (2020) Momentum contrast for unsupervised visual representation learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp 9729\u20139738","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"2770_CR44","doi-asserted-by":"crossref","unstructured":"Jang YK, Cho NI (2021) Self-supervised product quantization for deep unsupervised image retrieval. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp 12085\u201312094","DOI":"10.1109\/ICCV48922.2021.01187"},{"key":"2770_CR45","doi-asserted-by":"crossref","unstructured":"Qiu Z, Su Q, Ou Z, Yu J, Chen C (2021) Unsupervised hashing with contrastive information bottleneck. arXiv preprint arXiv:2105.06138","DOI":"10.24963\/ijcai.2021\/133"},{"issue":"3","key":"2770_CR46","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/s41019-024-00248-9","volume":"9","author":"M Xu","year":"2024","unstructured":"Xu M, Luo L, Lai H, Yin J (2024) Category-level contrastive learning for unsupervised hashing in cross-modal retrieval. Data Sci Eng 9(3):251\u2013263","journal-title":"Data Sci Eng"},{"key":"2770_CR47","doi-asserted-by":"crossref","unstructured":"Lu K, Yu Y, Liang M, Zhang M, Cao X, Zhao Z, Yin M, Xue Z (2023) Deep unsupervised momentum contrastive hashing for cross-modal retrieval. In: 2023 IEEE International Conference on Multimedia and Expo (ICME), pp 126\u2013131. IEEE","DOI":"10.1109\/ICME55011.2023.00030"},{"key":"2770_CR48","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1109\/TETCI.2023.3304948","volume":"8","author":"Z Xiao","year":"2023","unstructured":"Xiao Z, Xing H, Zhao B, Qu R, Luo S, Dai P, Li K, Zhu Z (2023) Deep contrastive representation learning with self-distillation. IEEE Trans Emerg Topics Comput Intell 8:3","journal-title":"IEEE Trans Emerg Topics Comput Intell"},{"key":"2770_CR49","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TCSS.2024.3510428","volume":"1","author":"Z Xiao","year":"2025","unstructured":"Xiao Z, Tong H (2025) Federated contrastive learning with feature-based distillation for human activity recognition. IEEE Trans Comput Soc Syst 1:1\u20139. https:\/\/doi.org\/10.1109\/TCSS.2024.3510428","journal-title":"IEEE Trans Comput Soc Syst"},{"key":"2770_CR50","doi-asserted-by":"crossref","unstructured":"He L, Huang Z, Liu J, Chen E, Wang F, Sha J, Wang S (2024) Bit-mask robust contrastive knowledge distillation for unsupervised semantic hashing. In: Proceedings of the ACM on Web Conference 2024, pp 1395\u20131406","DOI":"10.1145\/3589334.3645440"},{"issue":"2","key":"2770_CR51","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1007\/s13735-024-00326-8","volume":"13","author":"L Sun","year":"2024","unstructured":"Sun L, Dong Y (2024) Unsupervised graph reasoning distillation hashing for multimodal hamming space search with vision-language model. Int J Multimed Inform Retrieval 13(2):16","journal-title":"Int J Multimed Inform Retrieval"},{"key":"2770_CR52","first-page":"18298","volume":"38","author":"H Huang","year":"2024","unstructured":"Huang H, Nie Z, Wang Z, Shang Z (2024) Cross-modal and uni-modal soft-label alignment for image-text retrieval. Proc AAAI Conf Artif Intell 38:18298\u201318306","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"2770_CR53","doi-asserted-by":"crossref","unstructured":"Jiang QY, Li W-J (2017) Deep cross-modal hashing. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 3232\u20133240","DOI":"10.1109\/CVPR.2017.348"},{"key":"2770_CR54","doi-asserted-by":"crossref","unstructured":"Li C, Deng C, Li N, Liu W, Gao X, Tao D (2018) Self-supervised adversarial hashing networks for cross-modal retrieval. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 4242\u20134251","DOI":"10.1109\/CVPR.2018.00446"},{"key":"2770_CR55","doi-asserted-by":"crossref","unstructured":"Gu W, Gu X, Gu J, Li B, Xiong Z, Wang W (2019) Adversary guided asymmetric hashing for cross-modal retrieval. In: Proceedings of the 2019 on International Conference on Multimedia Retrieval, pp 159\u2013167","DOI":"10.1145\/3323873.3325045"},{"key":"2770_CR56","doi-asserted-by":"crossref","unstructured":"Liu S, Qian S, Guan Y, Zhan J, Ying L (2020) Joint-modal distribution-based similarity hashing for large-scale unsupervised deep cross-modal retrieval. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 1379\u20131388","DOI":"10.1145\/3397271.3401086"},{"issue":"2","key":"2770_CR57","doi-asserted-by":"publisher","first-page":"560","DOI":"10.1109\/TKDE.2020.2987312","volume":"34","author":"R-C Tu","year":"2020","unstructured":"Tu R-C, Mao X-L, Ma B, Hu Y, Yan T, Wei W, Huang H (2020) Deep cross-modal hashing with hashing functions and unified hash codes jointly learning. IEEE Trans Knowl Data Eng 34(2):560\u2013572","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"10","key":"2770_CR58","doi-asserted-by":"publisher","first-page":"7255","DOI":"10.1109\/TCSVT.2022.3172716","volume":"32","author":"Y Shi","year":"2022","unstructured":"Shi Y, Zhao Y, Liu X, Zheng F, Ou W, You X, Peng Q (2022) Deep adaptively-enhanced hashing with discriminative similarity guidance for unsupervised cross-modal retrieval. IEEE Trans Circuits Syst Video Technol 32(10):7255\u20137268","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"2770_CR59","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1109\/TMM.2021.3129623","volume":"25","author":"M Su","year":"2021","unstructured":"Su M, Gu G, Ren X, Fu H, Zhao Y (2021) Semi-supervised knowledge distillation for cross-modal hashing. IEEE Trans Multimedia 25:662\u2013675","journal-title":"IEEE Trans Multimedia"},{"issue":"7","key":"2770_CR60","doi-asserted-by":"publisher","first-page":"3439","DOI":"10.3390\/s23073439","volume":"23","author":"Y Li","year":"2023","unstructured":"Li Y, Ge M, Li M, Li T, Xiang S (2023) Clip-based adaptive graph attention network for large-scale unsupervised multi-modal hashing retrieval. Sensors 23(7):3439","journal-title":"Sensors"},{"key":"2770_CR61","doi-asserted-by":"crossref","unstructured":"Zhu L, Cai L, Song J, Zhu X, Zhang C, Zhang S (2022) MSSPQ: multiple semantic structure-preserving quantization for cross-modal retrieval. In: Proceedings of the 2022 International Conference on Multimedia Retrieval, pp 631\u2013638","DOI":"10.1145\/3512527.3531417"},{"key":"2770_CR62","doi-asserted-by":"crossref","unstructured":"Liu Y, Wu Q, Zhang Z, Zhang J, Lu G (2023) Multi-granularity interactive transformer hashing for cross-modal retrieval. In: Proceedings of the 31st ACM International Conference on Multimedia, pp 893\u2013902","DOI":"10.1145\/3581783.3612411"},{"issue":"9","key":"2770_CR63","doi-asserted-by":"publisher","first-page":"8838","DOI":"10.1109\/TKDE.2022.3218656","volume":"35","author":"L Zhu","year":"2022","unstructured":"Zhu L, Wu X, Li J, Zhang Z, Guan W, Shen HT (2022) Work together: correlation-identity reconstruction hashing for unsupervised cross-modal retrieval. IEEE Trans Knowl Data Eng 35(9):8838\u20138851","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"2770_CR64","doi-asserted-by":"crossref","unstructured":"Huiskes MJ, Lew MS (2008) The mir flickr retrieval evaluation. In: Proceedings of the 1st ACM International Conference on Multimedia Information Retrieval, pp 39\u201343","DOI":"10.1145\/1460096.1460104"},{"issue":"4","key":"2770_CR65","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1016\/j.cviu.2009.03.008","volume":"114","author":"HJ Escalante","year":"2010","unstructured":"Escalante HJ, Hern\u00e1ndez CA, Gonzalez JA, L\u00f3pez-L\u00f3pez A, Montes M, Morales EF, Sucar LE, Villasenor L, Grubinger M (2010) The segmented and annotated IAPR TC-12 benchmark. Comput Vis Image Underst 114(4):419\u2013428","journal-title":"Comput Vis Image Underst"},{"key":"2770_CR66","doi-asserted-by":"crossref","unstructured":"Chua T-S, Tang J, Hong R, Li H, Luo Z, Zheng Y (2009) Nus-wide: a real-world web image database from national university of Singapore. In: Proceedings of the ACM International Conference on Image and Video Retrieval, pp 1\u20139","DOI":"10.1145\/1646396.1646452"},{"key":"2770_CR67","doi-asserted-by":"crossref","unstructured":"Lin T-Y, Maire M, Belongie S, Hays J, Perona P, Ramanan D, Doll\u00e1r P, Zitnick CL (2014) Microsoft coco: Common objects in context. In: Computer Vision\u2013ECCV 2014: 13th European Conference, Zurich, Switzerland, 6\u201312 Sep 2014, Proceedings, Part V 13, pp 740\u2013755. Springer","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"2770_CR68","first-page":"5","volume":"1","author":"G Wu","year":"2018","unstructured":"Wu G, Lin Z, Han J, Liu L, Ding G, Zhang B, Shen J (2018) Unsupervised deep hashing via binary latent factor models for large-scale cross-modal retrieval. IJCAI 1:5","journal-title":"IJCAI"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-025-02770-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-025-02770-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-025-02770-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T11:23:53Z","timestamp":1762514633000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-025-02770-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,6]]},"references-count":68,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2025,11]]}},"alternative-id":["2770"],"URL":"https:\/\/doi.org\/10.1007\/s13042-025-02770-2","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,6]]},"assertion":[{"value":"6 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 July 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 August 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"The statement of informed consent is not applicable, as this research does not involve studies conducted with human participants or animals.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical considerations and informed consent"}}]}}