{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T03:39:16Z","timestamp":1784691556808,"version":"3.55.0"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3384598","type":"journal-article","created":{"date-parts":[[2024,4,3]],"date-time":"2024-04-03T13:50:23Z","timestamp":1712152223000},"page":"49216-49227","source":"Crossref","is-referenced-by-count":4,"title":["MGHE-Net: A Transformer-Based Multi-Grid Homography Estimation Network for Image Stitching"],"prefix":"10.1109","volume":"12","author":[{"given":"Yun","family":"Tang","sequence":"first","affiliation":[{"name":"College of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0531-2803","authenticated-orcid":false,"given":"Siyuan","family":"Tian","sequence":"additional","affiliation":[{"name":"College of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengfei","family":"Shuai","sequence":"additional","affiliation":[{"name":"Chengdu Architectural Design &#x0026; Research Institute Co., Ltd., Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Duan","sequence":"additional","affiliation":[{"name":"Chengdu Architectural Design &#x0026; Research Institute Co., Ltd., Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3724\/SP.J.2096-5796.2018.0008"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2020.102950"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2980179.2980257"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2017.08.031"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3070525"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-006-0002-3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1023\/b:visi.0000029664.99615.94"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.247"},{"key":"ref9","article-title":"Deep image homography estimation","author":"DeTone","year":"2016","journal-title":"arXiv:1606.03798"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.111"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_38"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3125736"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2809549"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01181"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/358669.358692"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3092828"},{"key":"ref17","article-title":"Layer normalization","author":"Lei Ba","year":"2016","journal-title":"arXiv:1607.06450"},{"key":"ref18","article-title":"Gaussian error linear units (GELUs)","author":"Hendrycks","year":"2016","journal-title":"arXiv:1606.08415"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3298645"},{"key":"ref20","article-title":"An image is worth 16 \u00d7 16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2074"},{"issue":"56","key":"ref24","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2723009"},{"key":"ref27","first-page":"1","article-title":"Decoupled weight decay regularization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Loshchilov"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.58"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00052"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10489948.pdf?arnumber=10489948","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T19:47:13Z","timestamp":1775764033000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10489948\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3384598","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}