{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:19:52Z","timestamp":1740100792347,"version":"3.37.3"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100017607","name":"Shenzhen Fundamental Research Program","doi-asserted-by":"publisher","award":["GXWD20201231165807007-20200806163656003"],"award-info":[{"award-number":["GXWD20201231165807007-20200806163656003"]}],"id":[{"id":"10.13039\/501100017607","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,23]]},"DOI":"10.1109\/icra46639.2022.9812101","type":"proceedings-article","created":{"date-parts":[[2022,7,12]],"date-time":"2022-07-12T19:36:40Z","timestamp":1657654600000},"page":"5643-5649","source":"Crossref","is-referenced-by-count":0,"title":["DKNAS: A Practical Deep Keypoint Extraction Framework Based on Neural Architecture Search"],"prefix":"10.1109","author":[{"given":"Li","family":"Liu","sequence":"first","affiliation":[{"name":"School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xing","family":"Cai","sequence":"additional","affiliation":[{"name":"School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ge","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas H","family":"Li","sequence":"additional","affiliation":[{"name":"Advanced Institute of Information Technology, Peking University,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"ref32","first-page":"1310","article-title":"On the difficulty of training recurrent neural networks","volume":"28","author":"pascanu","year":"0","journal-title":"ICML"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2913372"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6385773"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.410"},{"key":"ref34","first-page":"740","article-title":"Microsoft COCO: common objects in context","volume":"8693","author":"lin","year":"0","journal-title":"ECCV"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref12","first-page":"122","article-title":"Shufflenet V2: practical guidelines for efficient CNN architecture design","volume":"11218","author":"ma","year":"0","journal-title":"ECCV"},{"key":"ref13","article-title":"Neural architecture search with reinforcement learning","author":"zoph","year":"0","journal-title":"ICLRE"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.1109\/TRO.2017.2705103","article-title":"ORB-SLAM2: an open-source SLAM system for monocular, stereo, and RGB-D cameras","volume":"33","author":"mur-artal","year":"2017","journal-title":"IEEE Trans Robotics"},{"key":"ref15","first-page":"430","article-title":"Machine learning for high-speed corner detection","volume":"3951","author":"rosten","year":"0","journal-title":"ECCV"},{"key":"ref16","first-page":"778","article-title":"BRIEF: binary robust independent elementary features","volume":"6314","author":"calonder","year":"0","journal-title":"ECCV"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2794624"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341229"},{"key":"ref19","first-page":"6237","article-title":"Lf-net: Learning local features from images","author":"ono","year":"0","journal-title":"NeurIPS"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9340907"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126542"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref27","article-title":"DF-SLAM: A deep-learning enhanced visual SLAM system based on deep local features","volume":"abs 1901 7223","author":"kang","year":"2019","journal-title":"CoRR"},{"key":"ref6","article-title":"Unsuperpoint: End-to-end unsupervised interest point detector and descriptor","volume":"abs 1907 4011","author":"christiansen","year":"2019","journal-title":"CoRR"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206593"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00060"},{"key":"ref8","article-title":"Neural outlier rejection for self-supervised keypoint learning","author":"tang","year":"2020","journal-title":"ICLRE"},{"key":"ref7","first-page":"12 405","article-title":"R2D2: reliable and repeatable detector and descriptor","author":"revaud","year":"0","journal-title":"NeurIPS"},{"key":"ref2","first-page":"404","article-title":"SURF: speeded up robust features","volume":"3951","author":"bay","year":"0","journal-title":"ECCV"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_2"},{"key":"ref22","first-page":"549","article-title":"Understanding and simplifying one-shot architecture search","volume":"80","author":"bender","year":"2018","journal-title":"ICML"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00257"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_32"},{"key":"ref23","article-title":"SMASH: one-shot model architecture search through hypernetworks","author":"brock","year":"0","journal-title":"ICLRE"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2927954"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1177\/0278364916669237"}],"event":{"name":"2022 IEEE International Conference on Robotics and Automation (ICRA)","start":{"date-parts":[[2022,5,23]]},"location":"Philadelphia, PA, USA","end":{"date-parts":[[2022,5,27]]}},"container-title":["2022 International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9811522\/9811357\/09812101.pdf?arnumber=9812101","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T23:06:57Z","timestamp":1667516817000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9812101\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/icra46639.2022.9812101","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}