{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T04:36:29Z","timestamp":1780374989689,"version":"3.54.1"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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, Major Program","doi-asserted-by":"publisher","award":["51991365"],"award-info":[{"award-number":["51991365"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province of China","doi-asserted-by":"publisher","award":["ZR2021MF082"],"award-info":[{"award-number":["ZR2021MF082"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tgrs.2022.3196810","type":"journal-article","created":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T19:26:17Z","timestamp":1659727577000},"page":"1-14","source":"Crossref","is-referenced-by-count":16,"title":["MD Loss: Efficient Training of 3-D Seismic Fault Segmentation Network Under Sparse Labels by Weakening Anomaly Annotation"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9247-0832","authenticated-orcid":false,"given":"Yimin","family":"Dou","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kewen","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianbing","family":"Zhu","sequence":"additional","affiliation":[{"name":"Shengli Oilfield Company, SINOPEC, Dongying, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4928-895X","authenticated-orcid":false,"given":"Timing","family":"Li","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaoquan","family":"Tan","sequence":"additional","affiliation":[{"name":"Shengli Oilfield Company, SINOPEC, Dongying, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zongchao","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1190\/1.1444181"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1190\/1.1437466"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-246X.1984.tb05029.x"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1190\/1.1444415"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1190\/1.1437077"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1190\/1.1444651"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1190\/1.1817297"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3997\/2214-4609.20149004"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1190\/1.3628241"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1190\/segam2014-0465.1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.2118\/168061-MS"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3997\/2214-4609-pdb.395.IPTC-17543-MS"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1190\/segam2018-2995894.1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1190\/tle36030208.1"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1190\/segam2018-2995341.1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1190\/geo2017-0666.1"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1190\/geo2018-0646.1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1190\/int-2019-0173.1"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1190\/segam2020-3428171.1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2021.104968"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2925003"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1190\/geo2020-0424.1"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3073840"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1190\/geo2020-0945.1"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1190\/tle39100727.1"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1093\/jge\/gxy015"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2019.104344"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/en14123650"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3034960"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2021.104776"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3113676"},{"key":"ref32","article-title":"Segmentation loss Odyssey","author":"Ma","year":"2020","journal-title":"arXiv:2005.13449"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_49"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-50835-1_22"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref37","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image","volume-title":"Proc. Int. Conf. Med. Image Comput. Comput.-Assist. Intervent.","author":"Ronneberger"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2983686"},{"key":"ref40","article-title":"A survey on deep neural network compression: Challenges, overview, and solutions","author":"Mishra","year":"2020","journal-title":"arXiv:2010.03954"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09851460.pdf?arnumber=9851460","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T11:47:40Z","timestamp":1706788060000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9851460\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2022.3196810","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}