{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T18:45:54Z","timestamp":1780598754227,"version":"3.54.1"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2023,6,20]],"date-time":"2023-06-20T00:00:00Z","timestamp":1687219200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,6,20]],"date-time":"2023-06-20T00:00:00Z","timestamp":1687219200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2021J011003"],"award-info":[{"award-number":["2021J011003"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62141602"],"award-info":[{"award-number":["62141602"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s13042-023-01892-9","type":"journal-article","created":{"date-parts":[[2023,6,20]],"date-time":"2023-06-20T05:01:42Z","timestamp":1687237302000},"page":"4237-4249","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Self-similarity feature based few-shot learning via hierarchical relation network"],"prefix":"10.1007","volume":"14","author":[{"given":"Yangqing","family":"Zhong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuling","family":"Su","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,6,20]]},"reference":[{"key":"1892_CR1","unstructured":"Allen K, Shelhamer E, Shin H, Tenenbaum J (2019) Infinite mixture prototypes for few-shot learning. International Conference on Machine Learning 232\u2013241"},{"key":"1892_CR2","doi-asserted-by":"publisher","first-page":"1462","DOI":"10.1109\/TIP.2022.3142530","volume":"31","author":"C Cao","year":"2022","unstructured":"Cao C, Zhang Y (2022) Learning to compare relation: semantic alignment for few-shot learning. IEEE Trans Image Process 31:1462\u20131474","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"1892_CR3","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1109\/TCSVT.2021.3058098","volume":"32","author":"C Chen","year":"2021","unstructured":"Chen C, Li K, Wei W, Zhou J, Zeng Z (2021) Hierarchical graph neural networks for few-shot learning. IEEE Trans Circuits Syst Video Technol 32(1):240\u2013252","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"1892_CR4","doi-asserted-by":"crossref","unstructured":"Chu W, Li Y, Chang J, Wang Y (2019) Spot and learn: a maximum-entropy patch sampler for few-shot image classification. IEEE\/CVF Conference on Computer Vision and Pattern Recognition 6251\u20136260","DOI":"10.1109\/CVPR.2019.00641"},{"key":"1892_CR5","doi-asserted-by":"crossref","unstructured":"Deselaers T, Ferrari V (2010) Global and efficient self-similarity for object classification and detection. IEEE\/CVF Conference on Computer Vision and Pattern Recognition 1633\u20131640","DOI":"10.1109\/CVPR.2010.5539775"},{"key":"1892_CR6","unstructured":"Finn C, Abbeel P, Levine S (2017) Model-agnostic meta-learning for fast adaptation of deep networks. International Conference on Machine Learning 1126\u20131135"},{"key":"1892_CR7","doi-asserted-by":"crossref","unstructured":"Gidaris S, Komodakis N (2018) Dynamic few-shot visual learning without forgetting. IEEE\/CVF Conference on Computer Vision and Pattern Recognition 4367\u20134375","DOI":"10.1109\/CVPR.2018.00459"},{"key":"1892_CR8","first-page":"2067","volume":"54","author":"S Guo","year":"2021","unstructured":"Guo S, Zhao H (2021) Hierarchical classification with multi-path selection based on granular computing. J Artif Intell Res 54:2067\u20132089","journal-title":"J Artif Intell Res"},{"key":"1892_CR9","doi-asserted-by":"crossref","unstructured":"Yang X, Liang S, Yu H, Gao S, Qian Y (2019) Pseudo-label neighborhood rough set: measures and attribute reductions. Int J Approx Reason 105:112\u2013129","DOI":"10.1016\/j.ijar.2018.11.010"},{"key":"1892_CR10","doi-asserted-by":"crossref","unstructured":"Jamal M, Qi G (2019) Task agnostic meta-learning for few-shot learning. IEEE\/CVF Conference on Computer Vision and Pattern Recognition 11719\u201311727","DOI":"10.1109\/CVPR.2019.01199"},{"issue":"1","key":"1892_CR11","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1109\/TPAMI.2010.68","volume":"33","author":"I Junejo","year":"2010","unstructured":"Junejo I, Dexter E, Laptev I, Perez P (2010) View-independent action recognition from temporal self-similarities. IEEE Trans Pattern Anal Mach Intell 33(1):172\u2013185","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1892_CR12","doi-asserted-by":"crossref","unstructured":"Kang D, Kwon H, Min J, Cho M (2021) Relational embedding for few-shot classification. IEEE\/CVF International Conference on Computer Vision 8822\u20138833","DOI":"10.1109\/ICCV48922.2021.00870"},{"key":"1892_CR13","doi-asserted-by":"crossref","unstructured":"Kim S, Min D, Ham B, Jeon S, Lin S, Sohn K (2017) Fcss: fully convolutional self-similarity for dense semantic correspondence. IEEE\/CVF Conference on Computer Vision and Pattern Recognition 6560\u20136569","DOI":"10.1109\/CVPR.2017.73"},{"key":"1892_CR14","doi-asserted-by":"crossref","unstructured":"Kwon H, Kim M, Kwak S, Cho M (2021) Learning self-similarity in space and time as generalized motion for video action recognition. IEEE\/CVF International Conference on Computer Vision, 13065\u201313075","DOI":"10.1109\/ICCV48922.2021.01282"},{"key":"1892_CR15","doi-asserted-by":"crossref","unstructured":"Li A, Luo T, Lu Z, Xiang T, Wang L (2019) Large-scale few-shot learning: knowledge transfer with class hierarchy. IEEE\/CVF Conference on Computer Vision and Pattern Recognition 7212\u20137220","DOI":"10.1109\/CVPR.2019.00738"},{"key":"1892_CR16","doi-asserted-by":"crossref","unstructured":"Li W, Wang L, Xu J, Huo J, Gao Y, Luo J (2019) Revisiting local descriptor based image-to-class measure for few-shot learning. IEEE\/CVF Conference on Computer Vision and Pattern Recognition 7260\u20137268","DOI":"10.1109\/CVPR.2019.00743"},{"key":"1892_CR17","doi-asserted-by":"crossref","unstructured":"Li W, Xu J, Huo J, Wang L, Gao Y, Luo J (2019) Distribution consistency based covariance metric networks for few-shot learning. AAAI Conference on Artificial Intelligence 8642\u20138649","DOI":"10.1609\/aaai.v33i01.33018642"},{"issue":"5","key":"1892_CR18","doi-asserted-by":"publisher","first-page":"2293","DOI":"10.1109\/TKDE.2020.3004939","volume":"34","author":"L Liu","year":"2020","unstructured":"Liu L, Zhou T, Long G, Jiang J, Zhang C (2020) Many-class few-shot learning on multi-granularity class hierarchy. IEEE Trans Knowl Data Eng 34(5):2293\u20132305","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1892_CR19","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1016\/j.neucom.2019.12.034","volume":"383","author":"X Liu","year":"2020","unstructured":"Liu X, Zhou F, Liu J, Jiang L (2020) Meta-learning based prototype-relation network for few-shot classification. Neurocomputing 383:224\u2013234","journal-title":"Neurocomputing"},{"key":"1892_CR20","unstructured":"Liu Y, Lee J, Park M, Kim S, Yang E, Hwang S, Yang Y (2019) Learning to propagate labels: transductive propagation network for few-shot learning. International Conference on Learning Representations 1\u201314"},{"key":"1892_CR21","unstructured":"Nichol A, Achiam J, Schulman J (2018) On first-order meta-learning algorithms. arXiv preprint arXiv:1803.02999"},{"key":"1892_CR22","doi-asserted-by":"crossref","unstructured":"Qiang W, Li J, Su B, Fu J, Xiong H, Wen J (2023) Meta attention-generation network for cross-granularity few-shot learning. Int J Computer Vision 1\u201323","DOI":"10.1007\/s11263-023-01760-7"},{"key":"1892_CR23","unstructured":"Ramalho T, Garnelo M (2019) Adaptive posterior learning: few-shot learning with a surprise-based memory module. International Conference on Learning Representations 1\u201314"},{"issue":"10","key":"1892_CR24","doi-asserted-by":"publisher","first-page":"1614","DOI":"10.3390\/electronics11101614","volume":"11","author":"Z Ren","year":"2022","unstructured":"Ren Z, Zhang Y, Wang S (2022) A hybrid framework for lung cancer classification. Electronics 11(10):1614","journal-title":"Electronics"},{"key":"1892_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1177\/15330338221124372","volume":"21","author":"Z Ren","year":"2022","unstructured":"Ren Z, Zhang Y, Wang S (2022) LCDAE: data augmented ensemble framework for lung cancer classification. Technol Cancer Res Treatment 21:1\u201314","journal-title":"Technol Cancer Res Treatment"},{"key":"1892_CR26","unstructured":"Santoro A, Bartunov S, Botvinick M, Wierstra D, Lillicrap T (2016) Meta-learning with memory-augmented neural networks. International Conference on Machine Learning 1842\u20131850"},{"key":"1892_CR27","doi-asserted-by":"crossref","unstructured":"Selvaraju R, Cogswell M, Das A, Vedantam R, Parikh D, Batra D (2017) Grad-cam: visual explanations from deep networks via gradient-based localization. IEEE\/CVF International Conference on Computer Vision 618\u2013626","DOI":"10.1109\/ICCV.2017.74"},{"key":"1892_CR28","doi-asserted-by":"crossref","unstructured":"Shechtman E, Irani M (2007) Matching local self-similarities across images and videos. IEEE\/CVF Conference on Computer Vision and pattern recognition pp 1\u20138","DOI":"10.1109\/CVPR.2007.383198"},{"key":"1892_CR29","unstructured":"Snell J, Swersky K, Zemel R (2017) Prototypical networks for few-shot learning. Adv Neural Inform Process Syst 4077\u20134087"},{"key":"1892_CR30","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1016\/j.ijar.2021.12.013","volume":"142","author":"Y Su","year":"2022","unstructured":"Su Y, Zhao H, Lin Y (2022) Few-shot learning based on hierarchical classification via multi-granularity relation networks. Int J Approx Reason 142:417\u2013429","journal-title":"Int J Approx Reason"},{"key":"1892_CR31","doi-asserted-by":"crossref","unstructured":"Sun Q, Liu Y, Chua S, Tat, Schiele B (2019) Meta-transfer learning for few-shot learning. IEEE\/CVF Conference on Computer Vision and Pattern Recognition 403\u2013412","DOI":"10.1109\/CVPR.2019.00049"},{"key":"1892_CR32","doi-asserted-by":"crossref","unstructured":"Sung F, Yang Y, Zhang L, Xiang T, Torr P, Hospedales T (2018) Learning to compare: relation network for few-shot learning. IEEE\/CVF Conference on Computer Vision and Pattern Recognition 1199\u20131208","DOI":"10.1109\/CVPR.2018.00131"},{"key":"1892_CR33","doi-asserted-by":"crossref","unstructured":"Tian G, Liu J, Zhao H, Yang W (2022) Small object detection via dual inspection mechanism for uav visual images. Appl Intell 1\u201314","DOI":"10.1007\/s10489-021-02512-1"},{"key":"1892_CR34","doi-asserted-by":"crossref","unstructured":"Tieppo E, Santos R, Barddal J, Nievola J (2021) Hierarchical classification of data streams: a systematic literature review. J Artif Intell Res pp 1\u201340","DOI":"10.1007\/s10462-021-10087-z"},{"issue":"2","key":"1892_CR35","doi-asserted-by":"publisher","first-page":"578","DOI":"10.1016\/j.patcog.2012.07.026","volume":"46","author":"A Torabi","year":"2013","unstructured":"Torabi A, Bilodeau G (2013) Local self-similarity-based registration of human rois in pairs of stereo thermal-visible videos. Pattern Recogn 46(2):578\u2013589","journal-title":"Pattern Recogn"},{"key":"1892_CR36","unstructured":"Vinyals O, Blundell C, Lillicrap T, Kavukcuoglu K, Wierstra D (2016) Matching networks for one shot learning. Adv Neural Inform Process Syst 3630\u20133638"},{"key":"1892_CR37","doi-asserted-by":"crossref","unstructured":"Wang B, Liang J, Yao Y (2022) A trilevel analysis of uncertainty measuresin partition-based granular computing. J Artif Intell Res 1\u201343","DOI":"10.1007\/s10462-022-10177-6"},{"issue":"10","key":"1892_CR38","doi-asserted-by":"publisher","first-page":"7139","DOI":"10.1007\/s10489-020-02170-9","volume":"51","author":"F Wang","year":"2021","unstructured":"Wang F, Li C, Zeng Z, Xu K, Cheng S, Liu Y, Sun S (2021) Cornerstone network with feature extractor: a metric-based few-shot model for chinese natural sign language. Appl Intell 51(10):7139\u20137150","journal-title":"Appl Intell"},{"issue":"3","key":"1892_CR39","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1007\/s41066-016-0032-3","volume":"2","author":"G Wang","year":"2017","unstructured":"Wang G, Yang J, Xu J (2017) Granular computing: from granularity optimization to multi-granularity joint problem solving. Granular Comput 2(3):105\u2013120","journal-title":"Granular Comput"},{"key":"1892_CR40","doi-asserted-by":"crossref","unstructured":"Wang Y, Liu R, Lin D, Chen D, Li P, Hu Q, Chen C (2021) Coarse-to-fine: progressive knowledge transfer-based multitask convolutional neural network for intelligent large-scale fault diagnosis. IEEE Trans Neural Netw Learn Syst 761\u2013774","DOI":"10.1109\/TNNLS.2021.3100928"},{"issue":"3","key":"1892_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3386252","volume":"53","author":"Y Wang","year":"2020","unstructured":"Wang Y, Yao Q, Kwok J, Ni L (2020) Generalizing from a few examples: a survey on few-shot learning. ACM Comput Surveys 53(3):1\u201334","journal-title":"ACM Comput Surveys"},{"key":"1892_CR42","doi-asserted-by":"crossref","unstructured":"Yang J, Yang H, Chen L (2021) Towards cross-granularity few-shot learning: coarse-to-fine pseudo-labeling with visual-semantic meta-embedding. ACM International Conference on Multimedia 3005\u20133014","DOI":"10.1145\/3474085.3475200"},{"key":"1892_CR43","doi-asserted-by":"crossref","unstructured":"Yao Y (2004) A partition model of granular computing. Trans Rough Sets I:232\u2013253","DOI":"10.1007\/978-3-540-27794-1_11"},{"key":"1892_CR44","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1016\/j.neucom.2022.05.020","volume":"497","author":"Y Yu","year":"2022","unstructured":"Yu Y, Zhang D, Wang S, Ji Z, Zhang Z (2022) Local spatial alignment network for few-shot learning. Neurocomputing 497:182\u2013190","journal-title":"Neurocomputing"},{"key":"1892_CR45","doi-asserted-by":"crossref","unstructured":"Zhang H, Zhang J, Koniusz P (2019) Few-shot learning via saliency-guided hallucination of samples. IEEE\/CVF Conference on Computer Vision and Pattern Recognition 2770\u20132779","DOI":"10.1109\/CVPR.2019.00288"},{"issue":"12","key":"1892_CR46","doi-asserted-by":"publisher","first-page":"5586","DOI":"10.1109\/TKDE.2021.3070203","volume":"34","author":"Y Zhang","year":"2021","unstructured":"Zhang Y, Yang Q (2021) A survey on multi-task learning. IEEE Trans Knowl Data Eng 34(12):5586\u20135609","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"7","key":"1892_CR47","doi-asserted-by":"publisher","first-page":"2833","DOI":"10.1109\/TKDE.2019.2960251","volume":"33","author":"H Zhao","year":"2021","unstructured":"Zhao H, Hu Q, Zhu P, Wang Y, Wang P (2021) A recursive regularization based feature selection framework for hierarchical classification. IEEE Trans Knowl Data Eng 33(7):2833\u20132846","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1892_CR48","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.ijar.2018.10.017","volume":"104","author":"H Zhao","year":"2019","unstructured":"Zhao H, Yu S (2019) Cost-sensitive feature selection via the $$l_{2,1}$$-norm. Int J Approxim Reason 104:25\u201337","journal-title":"Int J Approxim Reason"},{"key":"1892_CR49","doi-asserted-by":"crossref","unstructured":"Zheng C, Cham T, Cai J (2021) The spatially-correlative loss for various image translation tasks. IEEE\/CVF Conference on Computer Vision and Pattern Recognition 16407\u201316417","DOI":"10.1109\/CVPR46437.2021.01614"},{"key":"1892_CR50","doi-asserted-by":"crossref","unstructured":"Zhong Z, Li C, Pang J (2022) Hierarchical message-passing graph neural networks. Data Mining and Knowledge Discovery 1\u201328","DOI":"10.1007\/s10618-022-00890-9"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-023-01892-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-023-01892-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-023-01892-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,13]],"date-time":"2023-10-13T05:21:43Z","timestamp":1697174503000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-023-01892-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,20]]},"references-count":50,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["1892"],"URL":"https:\/\/doi.org\/10.1007\/s13042-023-01892-9","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,20]]},"assertion":[{"value":"18 February 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 May 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 June 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}