{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:43:31Z","timestamp":1740102211538,"version":"3.37.3"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T00:00:00Z","timestamp":1689552000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T00:00:00Z","timestamp":1689552000000},"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","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,17]]},"DOI":"10.1109\/rcar58764.2023.10249019","type":"proceedings-article","created":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T17:36:59Z","timestamp":1695231419000},"page":"756-761","source":"Crossref","is-referenced-by-count":1,"title":["S2H-GNN: Learning Soft to Hard Feature Matching with Sparsified Graph Neural Network"],"prefix":"10.1109","author":[{"given":"Tao","family":"Xie","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology,State Key Laboratory of Robotics and System,Harbin,China,150006"}]},{"given":"Ruifeng","family":"Li","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology,State Key Laboratory of Robotics and System,Harbin,China,150006"}]},{"given":"Zhiqiang","family":"Jiang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology,State Key Laboratory of Robotics and System,Harbin,China,150006"}]},{"given":"Kun","family":"Dai","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology,State Key Laboratory of Robotics and System,Harbin,China,150006"}]},{"given":"Ke","family":"Wang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology,State Key Laboratory of Robotics and System,Harbin,China,150006"}]},{"given":"Lijun","family":"Zhao","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology,State Key Laboratory of Robotics and System,Harbin,China,150006"}]},{"given":"Shuozhan","family":"Li","sequence":"additional","affiliation":[{"name":"Fujian (Quanzhou)-HIT Research Institute of Engineering and Technology,Quanzhou,China"}]}],"member":"263","reference":[{"key":"ref13","first-page":"5156","article-title":"Transformers are rnns: Fast autoregressive transformers with linear attention","author":"katharopoulos","year":"2020","journal-title":"International Conference on Machine Learning"},{"key":"ref12","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/CVPR.2017.261"},{"year":"2020","author":"kitaev","article-title":"Reformer: The efficient transformer","key":"ref14"},{"year":"2017","author":"detone","article-title":"Toward geometric deep slam","key":"ref11"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1007\/978-3-319-46487-9_31"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/TRO.2021.3075644"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/CVPR.2016.445"},{"key":"ref16","first-page":"5173","article-title":"Hpatches: A benchmark and evaluation of handcrafted and learned local descriptors","author":"balntas","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/CVPR42600.2020.00499"},{"key":"ref7","first-page":"12405","article-title":"R2d2: Reliable and repeatable detector and descriptor","volume":"32","author":"revaud","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref9","first-page":"3744","article-title":"Set transformer: A framework for attention-based permutation-invariant neural networks","author":"lee","year":"2019","journal-title":"International Conference on Machine Learning"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"ref3","first-page":"1281","article-title":"Fast explicit diffusion for accelerated features in nonlinear scale spaces","volume":"34","author":"alcantarilla","year":"2011","journal-title":"IEEE Trans Patt Anal Mach Intell"},{"key":"ref6","first-page":"224","article-title":"Superpoint: Self-supervised interest point detection and description","author":"detone","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1023\/B:VISI.0000029664.99615.94"}],"event":{"name":"2023 IEEE International Conference on Real-time Computing and Robotics (RCAR)","start":{"date-parts":[[2023,7,17]]},"location":"Datong, China","end":{"date-parts":[[2023,7,20]]}},"container-title":["2023 IEEE International Conference on Real-time Computing and Robotics (RCAR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10249208\/10249018\/10249019.pdf?arnumber=10249019","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,9]],"date-time":"2023-10-09T18:07:28Z","timestamp":1696874848000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10249019\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,17]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/rcar58764.2023.10249019","relation":{},"subject":[],"published":{"date-parts":[[2023,7,17]]}}}