{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T01:23:45Z","timestamp":1780449825148,"version":"3.54.1"},"reference-count":77,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"publisher","award":["LR22F020002"],"award-info":[{"award-number":["LR22F020002"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62271277"],"award-info":[{"award-number":["62271277"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007834","name":"Natural Science Foundation of Ningbo Municipality","doi-asserted-by":"publisher","award":["2022J081"],"award-info":[{"award-number":["2022J081"]}],"id":[{"id":"10.13039\/100007834","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/tcsvt.2024.3368053","type":"journal-article","created":{"date-parts":[[2024,2,21]],"date-time":"2024-02-21T13:59:58Z","timestamp":1708523998000},"page":"2987-2998","source":"Crossref","is-referenced-by-count":20,"title":["Multidimensional Exploration of Segment Anything Model for Weakly Supervised Video Salient Object Detection"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6763-9202","authenticated-orcid":false,"given":"Binwei","family":"Xu","sequence":"first","affiliation":[{"name":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6025-9343","authenticated-orcid":false,"given":"Qiuping","family":"Jiang","sequence":"additional","affiliation":[{"name":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0870-8524","authenticated-orcid":false,"given":"Xing","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenyang","family":"Lu","sequence":"additional","affiliation":[{"name":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5906-1380","authenticated-orcid":false,"given":"Haoran","family":"Liang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2077-9608","authenticated-orcid":false,"given":"Ronghua","family":"Liang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2282897"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2009.4960393"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298961"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2009.5164251"},{"key":"ref5","first-page":"597","article-title":"Online tracking by learning discriminative saliency map with convolutional neural network","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hong"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2015.09.042"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00737"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_13"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.404"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345401"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00875"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.85"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01655"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547912"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1049\/ipr2.12840"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref17","article-title":"Weakly-supervised concealed object segmentation with SAM-based pseudo labeling and multi-scale feature grouping","author":"He","year":"2023","journal-title":"arXiv:2305.11003"},{"key":"ref18","article-title":"Segment anything model (SAM) enhanced pseudo labels for weakly supervised semantic segmentation","author":"Chen","year":"2023","journal-title":"arXiv:2305.05803"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3051099"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2023.3318672"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3264442"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3311480"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3275538"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3241196"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00514"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2754941"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_44"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00342"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6718"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2966453"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00158"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2924417"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3152567"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/iccv48922.2021.00410"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12308"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00623"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3205182"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01256"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16434"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2023.3321393"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3284076"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15555-0_27"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2014.2308642"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2631900"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2761361"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2859773"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3023080"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00738"},{"key":"ref50","article-title":"Learning video salient object detection progressively from unlabeled videos","author":"Xu","year":"2022","journal-title":"arXiv:2204.02008"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16408"},{"key":"ref52","article-title":"Can SAM boost video super-resolution?","author":"Lu","year":"2023","journal-title":"arXiv:2305.06524"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-44824-z"},{"key":"ref54","article-title":"Personalize segment anything model with one shot","author":"Zhang","year":"2023","journal-title":"arXiv:2305.03048"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2023.103540"},{"key":"ref56","article-title":"Segment and track anything","author":"Cheng","year":"2023","journal-title":"arXiv:2305.06558"},{"key":"ref57","article-title":"Segment anything is not always perfect: An investigation of SAM on different real-world applications","author":"Ji","year":"2023","journal-title":"arXiv:2304.05750"},{"key":"ref58","article-title":"Segment anything model (SAM) meets glass: Mirror and transparent objects cannot be easily detected","author":"Han","year":"2023","journal-title":"arXiv:2305.00278"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102918"},{"key":"ref60","article-title":"Can SAM segment polyps?","author":"Zhou","year":"2023","journal-title":"arXiv:2304.07583"},{"key":"ref61","article-title":"SAM struggles in concealed scenes - empirical study on \u2019segment anything","author":"Ji","year":"2023","journal-title":"arXiv:2304.06022"},{"key":"ref62","article-title":"Can SAM segment anything? When SAM meets camouflaged object detection","author":"Tang","year":"2023","journal-title":"arXiv:2304.04709"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3348659"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00404"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00887"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2813165"},{"key":"ref69","first-page":"207","article-title":"Unsupervised video object segmentation with motion-based bilateral networks","volume-title":"Proc. Eur. Conf. Comput. Vis.","author":"Li"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3068644"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2460013"},{"key":"ref72","first-page":"282","article-title":"Object segmentation by long term analysis of point trajectories","volume-title":"Proc. Eur. Conf. Comput. Vis.","author":"Brox"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.242"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247743"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.487"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206596"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00134"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/10949577\/10443051.pdf?arnumber=10443051","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T18:40:50Z","timestamp":1767638450000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10443051\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":77,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2024.3368053","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}