{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T23:39:05Z","timestamp":1785368345322,"version":"3.55.0"},"reference-count":60,"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":[{"name":"Key-Area Research and Development Program of Guangdong Province","award":["2019B010155003"],"award-info":[{"award-number":["2019B010155003"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072482"],"award-info":[{"award-number":["62072482"]}],"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":["61672544"],"award-info":[{"award-number":["61672544"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013111","name":"Tip-top Scientic and Technical Innovative Youth Talents of Guangdong Special Support Program","doi-asserted-by":"publisher","award":["2016TQ03X263"],"award-info":[{"award-number":["2016TQ03X263"]}],"id":[{"id":"10.13039\/501100013111","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.2020.3037536","type":"journal-article","created":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T21:49:41Z","timestamp":1605649781000},"page":"431-443","source":"Crossref","is-referenced-by-count":97,"title":["Contour-Aware Loss: Boundary-Aware Learning for Salient Object Segmentation"],"prefix":"10.1109","volume":"30","author":[{"given":"Zixuan","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huajun","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3883-2024","authenticated-orcid":false,"given":"Jianhuang","family":"Lai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lingxiao","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0310-4679","authenticated-orcid":false,"given":"Xiaohua","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"809","article-title":"Saliency detection via combining region-level and pixel-level predictions with CNNs","author":"tang","year":"2016","journal-title":"Eur Conf Comput Vis (ECCV)"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.78"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298938"},{"key":"ref32","first-page":"236","article-title":"Reverse attention for salient object detection","author":"chen","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2908779"},{"key":"ref37","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":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2579306"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.65"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.120"},{"key":"ref60","article-title":"ReNet: A recurrent neural network based alternative to convolutional networks","author":"visin","year":"2015","journal-title":"arXiv 1505 00393"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123290"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.31"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00187"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345401"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/34.730558"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.271"},{"key":"ref22","first-page":"1","article-title":"Multi-scale bidirectional FCN for object skeleton extraction","author":"yang","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell (AAAI)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.563"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.80"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.399"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2967250"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_50"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543739"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.164"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00403"},{"key":"ref57","first-page":"109","article-title":"Efficient inference in fully connected CRFs with Gaussian edge potentials","author":"kr\u00e4henb\u00fchl","year":"2011","journal-title":"Proc Neural Inf Process Syst (NIPS)"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206596"},{"key":"ref55","first-page":"1","article-title":"Automatic differentiation in PyTorch","author":"paszke","year":"2017","journal-title":"Proc Neural Inf Process Syst (NIPS)"},{"key":"ref54","first-page":"3","article-title":"CBAM: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.32"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.433"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00330"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00081"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.58"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref13","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-019-0149-9"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2487833"},{"key":"ref16","article-title":"Salient object detection in the deep learning era: An in-depth survey","author":"wang","year":"2019","journal-title":"arXiv 1904 09146"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126499"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.266"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.153"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.407"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref5","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assisted Intervent (MICCAI)"},{"key":"ref8","first-page":"370","article-title":"Contour knowledge transfer for salient object detection","author":"li","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.698"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.404"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00326"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2005.864164"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1117\/12.159642"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.43"},{"key":"ref47","first-page":"734","article-title":"Cornernet: Detecting objects as paired keypoints","author":"law","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00692"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2804438"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00172"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9263394\/09262030.pdf?arnumber=9262030","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:51:00Z","timestamp":1652194260000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9262030\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/tip.2020.3037536","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}