{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T18:59:20Z","timestamp":1774378760637,"version":"3.50.1"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"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\/501100004731","name":"Zhejiang Provincial Natural Science Foundation of China","doi-asserted-by":"publisher","award":["LY18F020012"],"award-info":[{"award-number":["LY18F020012"]}],"id":[{"id":"10.13039\/501100004731","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":[[2025,3]]},"DOI":"10.1109\/tnnls.2021.3105484","type":"journal-article","created":{"date-parts":[[2021,8,20]],"date-time":"2021-08-20T19:55:02Z","timestamp":1629489302000},"page":"4132-4144","source":"Crossref","is-referenced-by-count":84,"title":["IRFR-Net: Interactive Recursive Feature-Reshaping Network for Detecting Salient Objects in RGB-D Images"],"prefix":"10.1109","volume":"36","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":"Qinling","family":"Guo","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"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0550-7754","authenticated-orcid":false,"given":"Lu","family":"Yu","sequence":"additional","affiliation":[{"name":"Institute of Information and Communication Engineering, Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8877-2421","authenticated-orcid":false,"given":"Jenq-Neng","family":"Hwang","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University of Washington, Seattle, WA, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.98"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-017-1681-7"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.12720\/joig.2.2.151-157"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-018-0216-7"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.78"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.80"},{"key":"ref9","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"Chen","year":"2017","journal-title":"arXiv:1706.05587"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00766"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.698"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00404"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/95"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00887"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2020.2995220"},{"key":"ref16","article-title":"F3Net: Fusion, feedback and focus for salient object detection","author":"Wei","year":"2019","journal-title":"arXiv:1911.11445"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01304"},{"key":"ref18","article-title":"Highly efficient salient object detection with 100 K parameters","author":"Gao","year":"2020","journal-title":"arXiv:2003.05643"},{"key":"ref19","article-title":"N-reference transfer learning for saliency prediction","author":"Luo","year":"2020","journal-title":"arXiv:2007.05104"},{"key":"ref20","article-title":"Gradient-induced co-saliency detection","author":"Zhang","year":"2020","journal-title":"arXiv:2004.13364"},{"key":"ref21","article-title":"Suppress and balance: A simple gated network for salient object detection","author":"Zhao","year":"2020","journal-title":"arXiv:2007.08074"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3017352"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00042"},{"key":"ref24","article-title":"RedNet: Residual encoder-decoder network for indoor RGB-D semantic segmentation","author":"Jiang","year":"2018","journal-title":"arXiv:1806.01054"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/tsmc.2019.2957386"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2021.3077767"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2020.3025166"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2913107"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00735"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00405"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2891104"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.08.007"},{"key":"ref33","article-title":"CNN-based RGB-D salient object detection: Learn, select and fuse","author":"Chen","year":"2019","journal-title":"arXiv:1909.09309"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2976689"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00312"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00861"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00908"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00353"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01377"},{"key":"ref40","article-title":"Accurate RGB-D salient object detection via collaborative learning","author":"Ji","year":"2020","journal-title":"arXiv:2007.11782"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_17"},{"key":"ref42","article-title":"Progressively guided alternate refinement network for RGB-D salient object detection","author":"Chen","year":"2020","journal-title":"arXiv:2008.07064"},{"key":"ref43","article-title":"Cross-modal weighting network for RGB-D salient object detection","author":"Li","year":"2020","journal-title":"arXiv:2007.04901"},{"key":"ref44","article-title":"RGB-D salient object detection with cross-modality modulation and selection","author":"Li","year":"2020","journal-title":"arXiv:2007.07051"},{"key":"ref45","article-title":"Hierarchical dynamic filtering network for RGB-D salient object detection","author":"Pang","year":"2020","journal-title":"arXiv:2007.06227"},{"key":"ref46","article-title":"A single stream network for robust and real-time RGB-D salient object detection","author":"Zhao","year":"2020","journal-title":"arXiv:2007.06811"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2020.3045474"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.12.015"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2968250"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_23"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3014734"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2020.2996406"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_21"},{"key":"ref54","article-title":"DPANet: Depth potentiality-aware gated attention network for RGB-D salient object detection","author":"Chen","year":"2020","journal-title":"arXiv:2003.08608"},{"key":"ref55","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Krizhevsky"},{"key":"ref56","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413523"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00322"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2020.2969255"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_7"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/2632856.2632866"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.355"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.359"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247708"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.487"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206596"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/97"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10908444\/09519891.pdf?arnumber=9519891","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T18:40:15Z","timestamp":1741027215000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9519891\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":69,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3105484","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3]]}}}