{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T14:34:17Z","timestamp":1773930857320,"version":"3.50.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2020A1515010711"],"award-info":[{"award-number":["2020A1515010711"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013108","name":"Special Foundation for the Development of Strategic Emerging Industries of Shenzhen","doi-asserted-by":"publisher","award":["JCYJ20200109143035495"],"award-info":[{"award-number":["JCYJ20200109143035495"]}],"id":[{"id":"10.13039\/501100013108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013108","name":"Special Foundation for the Development of Strategic Emerging Industries of Shenzhen","doi-asserted-by":"publisher","award":["JCYJ20200109143010272"],"award-info":[{"award-number":["JCYJ20200109143010272"]}],"id":[{"id":"10.13039\/501100013108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003452","name":"Innovation and Technology Commission of the Hong Kong Special Administrative Region, China","doi-asserted-by":"publisher","award":["B\/E030\/18"],"award-info":[{"award-number":["B\/E030\/18"]}],"id":[{"id":"10.13039\/501100003452","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":[[2022,8]]},"DOI":"10.1109\/tnnls.2021.3053005","type":"journal-article","created":{"date-parts":[[2021,2,2]],"date-time":"2021-02-02T04:26:13Z","timestamp":1612239973000},"page":"3448-3460","source":"Crossref","is-referenced-by-count":20,"title":["GenDet: Meta Learning to Generate Detectors From Few Shots"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6868-319X","authenticated-orcid":false,"given":"Liyang","family":"Liu","sequence":"first","affiliation":[{"name":"Shenzhen International Graduate School\/Department of Electronic Engineering, Shenzhen Key Laboratory of Information Science and Technology\/Shenzhen Engineering Laboratory of IS&#x0026;DCP, Tsinghua University, Shenzhen, China"}]},{"given":"Bochao","family":"Wang","sequence":"additional","affiliation":[{"name":"SenseTime Research, Shenzhen, China"}]},{"given":"Zhanghui","family":"Kuang","sequence":"additional","affiliation":[{"name":"SenseTime Research, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1174-610X","authenticated-orcid":false,"given":"Jing-Hao","family":"Xue","sequence":"additional","affiliation":[{"name":"Department of Statistical Science, University College London, London, U.K."}]},{"given":"Yimin","family":"Chen","sequence":"additional","affiliation":[{"name":"SenseTime Research, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2506-1286","authenticated-orcid":false,"given":"Wenming","family":"Yang","sequence":"additional","affiliation":[{"name":"Shenzhen International Graduate School\/Department of Electronic Engineering, Shenzhen Key Laboratory of Information Science and Technology\/Shenzhen Engineering Laboratory of IS&#x0026;DCP, Tsinghua University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7509-3964","authenticated-orcid":false,"given":"Qingmin","family":"Liao","sequence":"additional","affiliation":[{"name":"Shenzhen International Graduate School\/Department of Electronic Engineering, Shenzhen Key Laboratory of Information Science and Technology\/Shenzhen Engineering Laboratory of IS&#x0026;DCP, Tsinghua University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8415-1062","authenticated-orcid":false,"given":"Wayne","family":"Zhang","sequence":"additional","affiliation":[{"name":"SenseTime Research, Shenzhen, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5555\/2999134.2999257"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.l007\/978-3-319-46448-0_2"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3002583"},{"key":"ref10","first-page":"3630","article-title":"Matching networks for one shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vinyals"},{"key":"ref11","first-page":"523","article-title":"Learning feed-forward one-shot learners","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Bertinetto"},{"key":"ref12","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Finn"},{"key":"ref13","first-page":"4077","article-title":"Prototypical networks for fewshot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Snell"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11716"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00534"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00851"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00967"},{"key":"ref19","first-page":"9919","article-title":"Frustratingly simple few-shot object detection","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Wang"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01002"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_37"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.05.114"},{"key":"ref23","first-page":"1","article-title":"Siamese neural networks for one-shot image recognition","volume-title":"Proc. ICML Deep Learn. Workshop","volume":"2","author":"Koch"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2959254"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2957187"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2861573"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00459"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298770"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2979745"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2924811"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00429"},{"key":"ref32","first-page":"2554","article-title":"Meta networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Munkhdalai"},{"key":"ref33","first-page":"1842","article-title":"Meta-learning with memory-augmented neural networks","volume-title":"Proc. 33rd Int. Conf. Mach. Learn.","author":"Santoro"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.328"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00760"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.79"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1126\/science.aab3050"},{"key":"ref38","first-page":"195","article-title":"One-shot learning with a hierarchical nonparametric Bayesian model","volume-title":"Proc. ICML Workshop Unsupervised Transf. Learn.","volume":"27","author":"Salakhutdinov"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2984710"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2292894"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2437384"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01337"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00093"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01204-1"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2844853"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2844175"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_56"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00935"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.554"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9849214\/09343776.pdf?arnumber=9343776","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:58:17Z","timestamp":1704844697000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9343776\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8]]},"references-count":56,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3053005","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8]]}}}