{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T05:26:34Z","timestamp":1783574794207,"version":"3.55.0"},"reference-count":113,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018AAA0100403"],"award-info":[{"award-number":["2018AAA0100403"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61876094"],"award-info":[{"award-number":["61876094"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["U1933114"],"award-info":[{"award-number":["U1933114"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin, China","doi-asserted-by":"publisher","award":["20JCJQJC00020"],"award-info":[{"award-number":["20JCJQJC00020"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin, China","doi-asserted-by":"publisher","award":["18JCYBJC15400"],"award-info":[{"award-number":["18JCYBJC15400"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin, China","doi-asserted-by":"publisher","award":["18ZXZNGX00110"],"award-info":[{"award-number":["18ZXZNGX00110"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tip.2021.3116793","type":"journal-article","created":{"date-parts":[[2021,10,7]],"date-time":"2021-10-07T02:57:12Z","timestamp":1633575432000},"page":"8727-8742","source":"Crossref","is-referenced-by-count":153,"title":["Bifurcated Backbone Strategy for RGB-D Salient Object Detection"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7593-6055","authenticated-orcid":false,"given":"Yingjie","family":"Zhai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5245-7518","authenticated-orcid":false,"given":"Deng-Ping","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0219-3443","authenticated-orcid":false,"given":"Jufeng","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8198-0335","authenticated-orcid":false,"given":"Ali","family":"Borji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8264-6117","authenticated-orcid":false,"given":"Ling","family":"Shao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5545-7217","authenticated-orcid":false,"given":"Junwei","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5224-8647","authenticated-orcid":false,"given":"Liang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025222"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2996406"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_7"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2884481"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2913107"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00403"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.178"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1145\/2632856.2632866","article-title":"Depth enhanced saliency detection method","author":"cheng","year":"2014","journal-title":"Proc ICIMCS"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2305100"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICDSP.2014.6900706"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.07.012"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.257"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00042"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00735"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00405"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2610425"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.08.007"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00322"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.487"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2016.7552907"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00353"},{"key":"ref25","first-page":"665","article-title":"Cross-modal weighting network for RGB-D salient object detection","author":"li","year":"2020","journal-title":"Proc ECCV"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2965989"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00081"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.79"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.111"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6916"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6892"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.31"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00737"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2962688"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00390"},{"key":"ref40","first-page":"454","article-title":"Leveraging stereopsis for saliency analysis","author":"niu","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-018-0120-1"},{"key":"ref3","article-title":"Salient object detection in the deep learning era: An in-depth survey","author":"wang","year":"2021","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2662005"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-017-1681-7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00875"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.193"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1778765.1778820"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00738"},{"key":"ref46","first-page":"35","article-title":"Suppress and balance: A simple gated network for salient object detection","author":"zhao","year":"2020","journal-title":"Proc ECCV"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.32"},{"key":"ref48","first-page":"5455","article-title":"Visual saliency based on multiscale deep features","author":"li","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/34.730558"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206596"},{"key":"ref41","first-page":"353","article-title":"Learning to detect a salient object","volume":"33","author":"liu","year":"2010","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.58"},{"key":"ref43","first-page":"186","article-title":"Salient objects in clutter: Bringing salient object detection to the foreground","author":"fan","year":"2018","journal-title":"Proc ECCV"},{"key":"ref73","first-page":"1","article-title":"Synergistic saliency and depth prediction for RGB-D saliency detection","author":"wang","year":"2021","journal-title":"Proc ACCV"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00861"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2761775"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref76","first-page":"646","article-title":"A single stream network for robust and real-time RGB-D salient object detection","author":"zhao","year":"2020","journal-title":"Proc ECCV"},{"key":"ref77","first-page":"225","article-title":"RGB-D salient object detection with cross-modality modulation and selection","author":"li","year":"2020","journal-title":"Proc ECCV"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00312"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_21"},{"key":"ref78","first-page":"1","article-title":"Specificity-preserving RGB-D saliency detection","author":"zhou","year":"2021","journal-title":"Proc ICCV"},{"key":"ref79","first-page":"1","article-title":"RGB-D saliency detection via cascaded mutual information minimization","author":"zhang","year":"2021","journal-title":"Proc ICCV"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.47"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2875586"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1004-z"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00887"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00736"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.5244\/C.27.98"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.5244\/C.27.112"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2682981"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2932005"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2487833"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.323"},{"key":"ref1","first-page":"275","article-title":"BBS-Net: RGB-D salient object detection with a bifurcated backbone strategy network","author":"fan","year":"2020","journal-title":"Proc ECCV"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00154"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.359"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2547384"},{"key":"ref94","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc ICLR"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00326"},{"key":"ref93","first-page":"1106","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc NIPS"},{"key":"ref106","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref92","first-page":"8024","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"steiner","year":"2019","journal-title":"Proc NIPS"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2711277"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298668"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301391"},{"key":"ref90","first-page":"3","article-title":"CBAM: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Proc ECCV"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.10.052"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/97"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"ref112","first-page":"109","article-title":"Efficient inference for fully-connected CRFs with stationarity","author":"zhang","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00732"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2557347"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00908"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.355"},{"key":"ref97","first-page":"14","article-title":"A multilayer backpropagation saliency detection algorithm based on depth mining","author":"zhu","year":"2017","journal-title":"Proc CAIP"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2012.6239191"},{"key":"ref11","first-page":"597","article-title":"Online tracking by learning discriminative saliency map with convolutional neural network","author":"hong","year":"2015","journal-title":"Proc ICML"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345401"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2567393"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.89"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2935715"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00404"},{"key":"ref82","doi-asserted-by":"crossref","DOI":"10.1109\/TPAMI.2021.3073564","article-title":"Uncertainty inspired RGB-D saliency detection","author":"zhang","year":"2021","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2846598"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3049959"},{"key":"ref18","article-title":"Salient objects in clutter","author":"fan","year":"2021","journal-title":"arXiv 2105 03053"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-020-0199-z"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2891104"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3073689"},{"key":"ref113","article-title":"Learning selective mutual attention and contrast for RGB-D saliency detection","author":"liu","year":"2020","journal-title":"arXiv 2010 05537"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3060167"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/95"},{"key":"ref85","first-page":"404","article-title":"Receptive field block net for accurate and fast object detection","author":"liu","year":"2018","journal-title":"Proc ECCV"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803025"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.168"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.433"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9263394\/09562295.pdf?arnumber=9562295","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,10]],"date-time":"2023-11-10T06:07:52Z","timestamp":1699596472000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9562295\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":113,"URL":"https:\/\/doi.org\/10.1109\/tip.2021.3116793","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}