{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T09:30:16Z","timestamp":1758274216873,"version":"3.28.0"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,10]]},"DOI":"10.1109\/icpr48806.2021.9412977","type":"proceedings-article","created":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T22:15:54Z","timestamp":1620252954000},"page":"3759-3766","source":"Crossref","is-referenced-by-count":1,"title":["Feature Point Matching in Cross-Spectral Images with Cycle Consistency Learning"],"prefix":"10.1109","author":[{"given":"Ryosuke","family":"Furuta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naoaki","family":"Noguchi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueting","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Toshihiko","family":"Yamasaki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","article-title":"Dasc: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence","author":"kim","year":"0","journal-title":"Proc CVPR"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1109\/TPAMI.2010.136","article-title":"Robust stereo matching using adaptive normalized cross-correlation","volume":"33","author":"heo","year":"2011","journal-title":"IEEE TPAMI"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.110"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.402"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12184"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451325"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.20"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00140"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00267"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296736"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.174"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018706"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00205"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00828"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.213"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_18"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.310"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.5244\/C.25.116"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126542"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00190"},{"key":"ref2","article-title":"Working hard to know your neighbor's margins: Local descriptor learning loss","author":"mishchuk","year":"0","journal-title":"NIPS"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.395"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.75"},{"key":"ref21","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"NIPS"},{"key":"ref24","article-title":"On the convergence of adam and beyond","author":"reddi","year":"0","journal-title":"Proc ICLR"},{"key":"ref23","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc ICLR"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.156"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"}],"event":{"name":"2020 25th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2021,1,10]]},"location":"Milan, Italy","end":{"date-parts":[[2021,1,15]]}},"container-title":["2020 25th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9411940\/9411911\/09412977.pdf?arnumber=9412977","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T11:40:45Z","timestamp":1652182845000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9412977\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/icpr48806.2021.9412977","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}