{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:22:36Z","timestamp":1740169356420,"version":"3.37.3"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020AAA0108103"],"award-info":[{"award-number":["2020AAA0108103"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Institute of Robotics and Intelligent Manufacturing Innovation, Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["C2021002"],"award-info":[{"award-number":["C2021002"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Innovation Engineering Project for New Energy and Intelligent Networked Automobile of Anhui Province, China"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3328855","type":"journal-article","created":{"date-parts":[[2023,10,31]],"date-time":"2023-10-31T18:16:45Z","timestamp":1698776205000},"page":"121202-121211","source":"Crossref","is-referenced-by-count":1,"title":["Transformer With Linear-Window Attention for Feature Matching"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6355-8659","authenticated-orcid":false,"given":"Zhiwei","family":"Shen","sequence":"first","affiliation":[{"name":"Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Kong","sequence":"additional","affiliation":[{"name":"Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyu","family":"Dong","sequence":"additional","affiliation":[{"name":"Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref57","first-page":"17346","article-title":"Dual-resolution correspondence networks","volume":"33","author":"li","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_18"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0644-x"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00263"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00614"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00594"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00442"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00629"},{"key":"ref11","first-page":"17283","article-title":"Big bird: Transformers for longer sequences","volume":"33","author":"zaheer","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref55","article-title":"Deep image homography estimation","author":"de tone","year":"2016","journal-title":"arXiv 1606 03798"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_7"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.410"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"ref16","article-title":"Linformer: Self-attention with linear complexity","author":"wang","year":"2020","journal-title":"arXiv 2006 04768"},{"key":"ref19","article-title":"Toward geometric deep SLAM","author":"detone","year":"2017","journal-title":"arXiv 1707 07410"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_28"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_35"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.445"},{"key":"ref46","first-page":"246","article-title":"Hierarchical probabilistic neural network language model","author":"morin","year":"2005","journal-title":"Proc AISTATS"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2001.940893"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00218"},{"key":"ref47","first-page":"24261","article-title":"MLP-mixer: An all-MLP architecture for vision","volume":"34","author":"ilya","year":"2021","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/EMC2-NIPS53020.2019.00016"},{"key":"ref41","first-page":"14014","article-title":"Are sixteen heads really better than one?","author":"michel","year":"2019","journal-title":"Proc NIPS"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref43","first-page":"8546","article-title":"Large memory layers with product keys","volume":"32","author":"lample","year":"2019","journal-title":"Proc NeurIPS"},{"journal-title":"Phototourism Challenge CVPR 2019 Image Matching Workshop","year":"2019","key":"ref49"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00615"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.596"},{"key":"ref9","article-title":"A lite BERT for self-supervised learning of language representations","author":"lan","year":"2019","journal-title":"arXiv 1909 11942"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.147"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33718-5_54"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00881"},{"key":"ref5","first-page":"14278","article-title":"GOCor: Bringing globally optimized correspondence volumes into your neural network","volume":"33","author":"truong","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref40","article-title":"Hierarchical graph representation learning with differentiable pooling","author":"ying","year":"2018","journal-title":"arXiv 1806 08804"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19824-3_2"},{"key":"ref34","first-page":"256","article-title":"MatchFormer: Interleaving attention in transformers for feature matching","author":"wang","year":"2022","journal-title":"Proc ACCV"},{"key":"ref37","article-title":"Rethinking attention with performers","author":"choromanski","year":"2020","journal-title":"arXiv 2009 14794"},{"key":"ref36","first-page":"5156","article-title":"Transformers are RNNs: Fast autoregressive transformers with linear attention","author":"katharopoulos","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref31","article-title":"End-to-end object detection with transformers","author":"carion","year":"2020","journal-title":"arXiv 2005 12872"},{"key":"ref30","first-page":"1081","article-title":"A scalable hierarchical distributed language model","author":"mnih","year":"2009","journal-title":"Proc NIPS"},{"key":"ref33","article-title":"An image is worth 16&#x00D7;16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2021","journal-title":"arXiv 2010 11929"},{"key":"ref32","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref2","first-page":"1","article-title":"Image matching across wide baselines: From paper to practice","volume":"10","author":"jin","year":"2020","journal-title":"Int J Comput Vis"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref39","first-page":"3744","article-title":"Set transformer: A framework for attention-based permutation-invariant neural networks","author":"lee","year":"2019","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref38","article-title":"Dynamic token normalization improves vision transformers","author":"shao","year":"2021","journal-title":"arXiv 2112 02624"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00662"},{"key":"ref23","article-title":"GIFT: Learning transformation-invariant dense visual descriptors via group CNNs","author":"liu","year":"2019","journal-title":"arXiv 1911 05932"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00499"},{"key":"ref25","first-page":"14254","article-title":"DISK: Learning local features with policy gradient","volume":"33","author":"tyszkiewicz","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00060"},{"key":"ref63","first-page":"2839","article-title":"LF-Net: Learning local features from images","author":"ono","year":"2018","journal-title":"Proc NeurIPS"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00828"},{"key":"ref21","article-title":"R2D2: Repeatable and reliable detector and descriptor","author":"revaud","year":"2019","journal-title":"arXiv 1906 06195"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2016.2634089"},{"key":"ref27","article-title":"Universal correspondence network","author":"choy","year":"2016","journal-title":"arXiv 1606 03558"},{"key":"ref29","article-title":"ELECTRA: Pre-training text encoders as discriminators rather than generators","author":"clark","year":"2020","journal-title":"arXiv 2003 10555"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.302"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.261"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00282"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10302221.pdf?arnumber=10302221","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T20:42:29Z","timestamp":1702327349000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10302221\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":63,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3328855","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2023]]}}}