{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T05:27:18Z","timestamp":1775366838356,"version":"3.50.1"},"reference-count":76,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","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\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61502429"],"award-info":[{"award-number":["61502429"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972357"],"award-info":[{"award-number":["61972357"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62071427"],"award-info":[{"award-number":["62071427"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972358"],"award-info":[{"award-number":["61972358"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["LY18F020012"],"award-info":[{"award-number":["LY18F020012"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Emerg. Top. Comput. Intell."],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1109\/tetci.2021.3118043","type":"journal-article","created":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T19:54:38Z","timestamp":1639511678000},"page":"957-968","source":"Crossref","is-referenced-by-count":91,"title":["APNet: Adversarial Learning Assistance and Perceived Importance Fusion Network for All-Day RGB-T Salient Object Detection"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3055-2493","authenticated-orcid":false,"given":"Wujie","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China"}]},{"given":"Yun","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China"}]},{"given":"Jingsheng","family":"Lei","sequence":"additional","affiliation":[{"name":"School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China"}]},{"given":"Jian","family":"Wan","sequence":"additional","affiliation":[{"name":"School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China"}]},{"given":"Lu","family":"Yu","sequence":"additional","affiliation":[{"name":"Institute of Information and Communication Engineering, Zhejiang University, Hangzhou, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3025166"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.01.025"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3077767"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2020.2993640"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2794207"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2542580"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3109518"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.563"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2602079"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2021.3051010"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2929943"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2019.2957386"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00326"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2891104"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00735"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00353"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00405"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2996406"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2913107"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3014663"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3077058"},{"key":"ref22","article-title":"A unified RGB-T saliency detection benchmark: Dataset, baselines, analysis and a novel approach","author":"Li","year":"2017"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ISCID.2017.92"},{"key":"ref24","article-title":"Wasserstein GAN","author":"Arjovsky","year":"2017"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.299"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3086618"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2020.2999462"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2020.107766"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622477"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00404"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00403"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICME46284.2020.9102715"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/95"},{"key":"ref35","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-58539-6_42","article-title":"Highly efficient salient object detection with 100K parameters","author":"Gao","year":"2020"},{"key":"ref36","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-58536-5_3","article-title":"Suppress and balance: A simple gated network for salient object detection","author":"Zhao","year":"2020"},{"key":"ref37","article-title":"F3Net: Fusion, feedback and focus for salient object detection","author":"Jun","year":"2019"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_17"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3109626"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.08.007"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2976689"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00312"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00861"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00908"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01377"},{"key":"ref46","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-58523-5_4","article-title":"Accurate RGB-D salient object detection via collaborative learning","author":"Ji","year":"2020"},{"key":"ref47","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-58520-4_39","article-title":"Cross-modal weighting network for rgb-d salient object detection","author":"Li","year":"2020"},{"key":"ref48","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-58598-3_14","article-title":"RGB-D salient object detection with cross-modality modulation and selection","author":"Li","year":"2020"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00042"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2969255"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3028289"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2021.3097393"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3105484"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2870832"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_49"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/MIPR.2019.00032"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2924578"},{"key":"ref58","article-title":"RGBT salient object detection: A large-scale dataset and benchmark","author":"Tu","year":"2020"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2959253"},{"key":"ref60","article-title":"Multi-interactive encoder-decoder network for RGBT salient object detection","author":"Tu","year":"2020"},{"key":"ref61","first-page":"2672","article-title":"Generative adversarial nets","volume":"27","author":"Goodfellow","year":"2014","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/94"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2019.04.002"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00027"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2997184"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.01.045"},{"key":"ref67","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonya","year":"2014"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2987816"},{"key":"ref69","article-title":"SalGAN: Visual saliency prediction with generative adversarial networks","author":"Pan","year":"2017"},{"key":"ref70","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247743"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2487833"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.487"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/97"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2938758"}],"container-title":["IEEE Transactions on Emerging Topics in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7433297\/9834983\/09583676.pdf?arnumber=9583676","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:00:52Z","timestamp":1705014052000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9583676\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8]]},"references-count":76,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tetci.2021.3118043","relation":{},"ISSN":["2471-285X"],"issn-type":[{"value":"2471-285X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8]]}}}