{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T21:11:32Z","timestamp":1775077892776,"version":"3.50.1"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]},{"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"}]},{"DOI":"10.13039\/501100006355","name":"Shun Hing Institute of Advanced Engineering","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006355","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,30]]},"DOI":"10.1109\/icra48506.2021.9561690","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:28:35Z","timestamp":1634689715000},"page":"13553-13559","source":"Crossref","is-referenced-by-count":18,"title":["One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video"],"prefix":"10.1109","author":[{"given":"Zixu","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Yueming","family":"Jin","sequence":"additional","affiliation":[]},{"given":"Bo","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Chi-Fai","family":"Ng","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Dou","sequence":"additional","affiliation":[]},{"given":"Yun-Hui","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Pheng-Ann","family":"Heng","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref32","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2018.00100"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.116"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32254-0_46"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196905"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197425"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32254-0_49"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59716-0_65"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794334"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59716-0_67"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32254-0_14"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59716-0_75"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00235"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1253"},{"key":"ref28","article-title":"2018 robotic scene segmentation challenge","author":"allan","year":"2020"},{"key":"ref4","article-title":"Future frame pre-diction for robot-assisted surgery","author":"gao","year":"2021"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2890659"},{"key":"ref3","article-title":"2017 robotic instrument segmentation challenge","author":"allan","year":"2019"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04268-3_54"},{"key":"ref29","article-title":"Recasting gradient-based meta-learning as hierarchical bayes","author":"grant","year":"2018","journal-title":"6th International Conference on Learning Representations ICLR 2018"},{"key":"ref5","first-page":"101837","article-title":"St-mtl: Spatio-temporal multitask learning model to predict scanpath while tracking instruments in robotic surgery","author":"islam","year":"2020","journal-title":"Medical Image Analysis"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-019-00277-1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00937-3_32"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.07.002"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2900854"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2794439"},{"key":"ref20","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"finn","year":"2017","journal-title":"ICML"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01199"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00049"},{"key":"ref24","article-title":"Online adaptation through meta-learning for stereo depth estimation","author":"zhang","year":"2019"},{"key":"ref23","article-title":"Few-shot learning with graph neural net-works","author":"garcia","year":"2017"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00437"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00989"}],"event":{"name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","location":"Xi'an, China","start":{"date-parts":[[2021,5,30]]},"end":{"date-parts":[[2021,6,5]]}},"container-title":["2021 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9560720\/9560666\/09561690.pdf?arnumber=9561690","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:47:21Z","timestamp":1652197641000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9561690\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,30]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/icra48506.2021.9561690","relation":{},"subject":[],"published":{"date-parts":[[2021,5,30]]}}}