{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T17:46:43Z","timestamp":1772905603653,"version":"3.50.1"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tcsvt.2023.3288134","type":"journal-article","created":{"date-parts":[[2023,6,28]],"date-time":"2023-06-28T17:31:58Z","timestamp":1687973518000},"page":"815-827","source":"Crossref","is-referenced-by-count":9,"title":["FastAL: Fast Evaluation Module for Efficient Dynamic Deep Active Learning Using Broad Learning System"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8453-3346","authenticated-orcid":false,"given":"Shuzhou","family":"Sun","sequence":"first","affiliation":[{"name":"College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China"}]},{"given":"Huali","family":"Xu","sequence":"additional","affiliation":[{"name":"Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8403-7614","authenticated-orcid":false,"given":"Yan","family":"Li","sequence":"additional","affiliation":[{"name":"College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1503-0240","authenticated-orcid":false,"given":"Ping","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computing and the School of Design, The Hong Kong Polytechnic University, Hong Kong, china"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8510-2556","authenticated-orcid":false,"given":"Bin","family":"Sheng","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8805-7129","authenticated-orcid":false,"given":"Xiao","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00467"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2890511"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2987465"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2974745"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3109084"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2971641"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2987562"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3079991"},{"key":"ref9","article-title":"Deep learning for cross-domain few-shot visual recognition: A survey","author":"Xu","year":"2023","journal-title":"arXiv:2303.08557"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413620"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2867913"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00976"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-2099-5_1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.33"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206627"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00906"},{"key":"ref17","first-page":"1","article-title":"Active learning for convolutional neural networks: A core-set approach","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Sener"},{"key":"ref18","first-page":"1289","article-title":"Multiple-instance active learning","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Settles"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_37"},{"key":"ref20","article-title":"Active and continuous exploration with deep neural networks and expected model output changes","author":"K\u00e4ding","year":"2016","journal-title":"arXiv:1612.06129"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20876-9_32"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2716952"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2866622"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00018"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00181"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00446"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3209085"},{"key":"ref28","first-page":"1","article-title":"Evidential uncertainty and diversity guided active learning for scene graph generation","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Sun"},{"key":"ref29","first-page":"1","article-title":"Low budget active learning via Wasserstein distance: An integer programming approach","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Mahmood"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01192"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3121080"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3079311"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3120873"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR56361.2022.9956540"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/72.471375"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref37","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12231"},{"key":"ref40","volume-title":"Real and Complex Analysis (Higher Mathematics Series)","author":"Rudin","year":"2015"},{"key":"ref41","volume-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref42","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017","journal-title":"arXiv:1708.07747"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref46","first-page":"857","article-title":"Stochastic neighbor embedding","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Hinton"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/10422872\/10167762.pdf?arnumber=10167762","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,14]],"date-time":"2024-02-14T19:03:57Z","timestamp":1707937437000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10167762\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":46,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2023.3288134","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}