{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T09:40:17Z","timestamp":1772358017511,"version":"3.50.1"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"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":["61976250"],"award-info":[{"award-number":["61976250"]}],"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":["61702565"],"award-info":[{"award-number":["61702565"]}],"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":["U1811463"],"award-info":[{"award-number":["U1811463"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC-Shenzhen Robotics Projects","doi-asserted-by":"publisher","award":["U1613211"],"award-info":[{"award-number":["U1613211"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["18lgpy63"],"award-info":[{"award-number":["18lgpy63"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National High Level Talents Special Support Plan"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1109\/tcyb.2020.2969282","type":"journal-article","created":{"date-parts":[[2020,2,19]],"date-time":"2020-02-19T21:37:23Z","timestamp":1582148243000},"page":"6188-6199","source":"Crossref","is-referenced-by-count":28,"title":["Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread"],"prefix":"10.1109","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9120-9843","authenticated-orcid":false,"given":"Haofeng","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4805-0926","authenticated-orcid":false,"given":"Guanbin","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2143-2836","authenticated-orcid":false,"given":"Binbin","family":"Yang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1440-3340","authenticated-orcid":false,"given":"Guanqi","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2248-3755","authenticated-orcid":false,"given":"Liang","family":"Lin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0470-5548","authenticated-orcid":false,"given":"Yizhou","family":"Yu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"ref38","first-page":"3088","article-title":"Structured transforms for small-footprint deep learning","author":"sindhwani","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00330"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2815688"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2766787"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2838761"},{"key":"ref37","first-page":"806","article-title":"Sparse convolutional neural networks","author":"liu","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref36","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref35","first-page":"1279","article-title":"Tiled convolutional neural networks","author":"ngiam","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00404"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.404"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.487"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206596"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.58"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00342"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_50"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_15"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00737"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2005.1570548"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.460"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2579306"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.698"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.80"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2832053"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2846598"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1062-2"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2914099"},{"key":"ref50","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.43"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2602079"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.153"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.407"},{"key":"ref55","first-page":"801","article-title":"Encoder–decoder with Atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240636"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"ref52","first-page":"4539","article-title":"Visual interaction networks: Learning a physics simulator from video","author":"watters","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247743"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.271"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2502579"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.165"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.256"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2710636"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2016.2564922"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2609426"},{"key":"ref17","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"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298938"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2817540"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-013-0823-3"},{"key":"ref3","first-page":"2049","article-title":"An integrated model of top-down and bottom-up attention for optimal object detection","author":"navalpakkam","year":"2006","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276390"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00081"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.32"},{"key":"ref49","first-page":"4967","article-title":"A simple neural network module for relational reasoning","author":"santoro","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345401"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018417"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.38"},{"key":"ref48","first-page":"109","article-title":"Efficient inference in fully connected CRFs with Gaussian edge potentials","author":"kr\u00e4henb\u00fchl","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790383"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.71"},{"key":"ref44","first-page":"4502","article-title":"Interaction networks for learning about objects, relations and physics","author":"battaglia","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9660196\/09003499.pdf?arnumber=9003499","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:29Z","timestamp":1652194409000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9003499\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":64,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2020.2969282","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12]]}}}