{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T03:17:30Z","timestamp":1772767050677,"version":"3.50.1"},"reference-count":49,"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:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Innovation Project of Guangxi Graduate Education","award":["YCBZ2021019"],"award-info":[{"award-number":["YCBZ2021019"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3058522","type":"journal-article","created":{"date-parts":[[2021,2,13]],"date-time":"2021-02-13T02:13:27Z","timestamp":1613182407000},"page":"27908-27915","source":"Crossref","is-referenced-by-count":20,"title":["PA-MVSNet: Sparse-to-Dense Multi-View Stereo With Pyramid Attention"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6205-4782","authenticated-orcid":false,"given":"Ke","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0675-1572","authenticated-orcid":false,"given":"Mengyu","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Mechanical Engineering, Guangxi University, Nanning, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3457-1982","authenticated-orcid":false,"given":"Jinlai","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Mechanical Engineering, Guangxi University, Nanning, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4389-5612","authenticated-orcid":false,"given":"Zhenbiao","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.38"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/electronics9101702"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.253"},{"key":"ref31","article-title":"La biblioth&#x00E8;que openMVG: Open source multiple view geometry","author":"moulon","year":"2013"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.445"},{"key":"ref37","article-title":"Pyramid attention network for semantic segmentation","author":"li","year":"2018","journal-title":"arXiv 1805 10180"},{"key":"ref36","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref35","article-title":"DPSNet: End-to-end deep plane sweep stereo","author":"im","year":"2019","journal-title":"arXiv 1905 00538"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_38"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.196"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00030"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_31"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodpol.2019.101816"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.19"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1187112.1187289"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4408933"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.161"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-011-0346-8"},{"key":"ref23","first-page":"73","article-title":"Iterative multi-view plane fitting","author":"habbecke","year":"2006","journal-title":"Proc Int Fall Workshop Vis Modeling Vis"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.106"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88682-2_58"},{"key":"ref10","article-title":"Survey on the attention based RNN model and its applications in computer vision","author":"wang","year":"2016","journal-title":"arXiv 1601 06823"},{"key":"ref11","article-title":"Pyramid attention networks for image restoration","author":"mei","year":"2020","journal-title":"arXiv 2004 13824"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4408997"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.135"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.238"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/11744047_17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2004.03.016"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-76390-1_17"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0902-9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073599"},{"key":"ref6","first-page":"2366","article-title":"Depth map prediction from a single image using a multi-scale deep network","author":"eigen","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.272"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00567"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_47"},{"key":"ref49","article-title":"Automatic differentiation in PyTorch","author":"paszke","year":"2017","journal-title":"Proc NIPS Autodiff Workshop"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00162"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00386"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref47","article-title":"Spatially and temporally efficient non-local attention network for video-based person re-identification","author":"liu","year":"2019","journal-title":"arXiv 1908 01683"},{"key":"ref42","first-page":"1673","article-title":"Non-local recurrent network for image restoration","author":"wen","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2020.102769"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00068"},{"key":"ref43","article-title":"Residual non-local attention networks for image restoration","author":"zhang","year":"2019","journal-title":"arXiv 1903 10082"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09352763.pdf?arnumber=9352763","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:59:39Z","timestamp":1652194779000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9352763\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3058522","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}