{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T16:21:12Z","timestamp":1759335672237,"version":"3.37.3"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100012542","name":"Sichuan Science and Technology Program","doi-asserted-by":"publisher","award":["2020YFG0134","2018JY0602","2018GZDX0024"],"award-info":[{"award-number":["2020YFG0134","2018JY0602","2018GZDX0024"]}],"id":[{"id":"10.13039\/100012542","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2018YFC0809500"],"award-info":[{"award-number":["2018YFC0809500"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1933134","U1833128"],"award-info":[{"award-number":["U1933134","U1833128"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004912","name":"Funding from Sichuan University","doi-asserted-by":"publisher","award":["2018SCUH0042"],"award-info":[{"award-number":["2018SCUH0042"]}],"id":[{"id":"10.13039\/501100004912","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3032582","type":"journal-article","created":{"date-parts":[[2020,10,21]],"date-time":"2020-10-21T17:30:35Z","timestamp":1603301435000},"page":"191530-191541","source":"Crossref","is-referenced-by-count":2,"title":["Unsupervised Monocular Training Method for Depth Estimation Using Statistical Masks"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3986-2164","authenticated-orcid":false,"given":"Xiangtong","family":"Wang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3786-4959","authenticated-orcid":false,"given":"Wei","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0948-6847","authenticated-orcid":false,"given":"Menglong","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Peng","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Binbin","family":"Liang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1177\/0278364915620033"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00216"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2505283"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.304"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00712"},{"key":"ref13","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc MICCAI"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.25"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298897"},{"key":"ref16","first-page":"172","article-title":"SURGE: Surface regularized geometry estimation from a single image","author":"wang","year":"2016","journal-title":"Proc NIPS"},{"key":"ref17","first-page":"730","article-title":"Single-image depth perception in the wild","author":"chen","year":"2016","journal-title":"Proc NIPS"},{"key":"ref18","first-page":"388","article-title":"Learning ordinal relationships for mid-level vision","author":"zoran","year":"2016","journal-title":"Proc ICCV"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00996"},{"key":"ref28","first-page":"8024","article-title":"Automatic differentiation in PROSE","author":"paszke","year":"2017","journal-title":"Proc NIPS"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_3"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"ref6","first-page":"225","article-title":"LEGO: Learning edge with geometry all at once by watching videos","author":"yin","year":"2018","journal-title":"Proc CVPR"},{"key":"ref29","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc ICLR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00212"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01252"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref9","article-title":"Vision meets drones: Past, present and future","author":"zhu","year":"2020","journal-title":"arXiv 2001 06303"},{"key":"ref1","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 NIPS"},{"key":"ref20","first-page":"35","article-title":"Unsupervised scale-consistent depth and ego-motion learning from monocular video","author":"bian","year":"2019","journal-title":"Proc NIPS"},{"key":"ref22","first-page":"7493","article-title":"Unsupervised learning of geometry from videos with edge-aware depth-normal consistency","author":"rocha","year":"2018","journal-title":"Proc AAAI"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"ref24","first-page":"7251","article-title":"UnFlow: Unsupervised learning of optical flow with a bidirectional census loss","author":"meister","year":"2017","journal-title":"Proc AAAI"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00594"},{"key":"ref26","first-page":"2017","article-title":"Spatial transformer networks","author":"jaderberg","year":"2015","journal-title":"Proc NIPS"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09233348.pdf?arnumber=9233348","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T01:09:05Z","timestamp":1641949745000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9233348\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3032582","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}