{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:14:42Z","timestamp":1740100482858,"version":"3.37.3"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,11,4]],"date-time":"2021-11-04T00:00:00Z","timestamp":1635984000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,11,4]],"date-time":"2021-11-04T00:00:00Z","timestamp":1635984000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,4]],"date-time":"2021-11-04T00:00:00Z","timestamp":1635984000000},"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","award":["61973056"],"award-info":[{"award-number":["61973056"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,4]]},"DOI":"10.1109\/ucet54125.2021.9674983","type":"proceedings-article","created":{"date-parts":[[2022,1,19]],"date-time":"2022-01-19T20:36:43Z","timestamp":1642624603000},"page":"229-234","source":"Crossref","is-referenced-by-count":0,"title":["HyPNet: Hybrid Multi-features Network for Point Cloud Semantic Segmentation"],"prefix":"10.1109","author":[{"given":"Rujun","family":"Song","sequence":"first","affiliation":[]},{"given":"Chaofan","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Haojie","family":"Qin","sequence":"additional","affiliation":[]},{"given":"Han","family":"He","sequence":"additional","affiliation":[]},{"given":"Zhuoling","family":"Xiao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"5","article-title":"Flight path planning of UAV based on heuristically search and genetic algorithms","author":"qu","year":"0","journal-title":"31st Annual Conference of IEEE Industrial Electronics Society 2005 IECON 2005"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.5194\/isprsannals-III-3-177-2016"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.257"},{"key":"ref13","first-page":"726","article-title":"Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography","author":"fischler","year":"1987","journal-title":"Readings in Computer Vision"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01152"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58586-0_38"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-64689-3_8"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1007\/978-3-319-11752-2_17","article-title":"Mind the Gap: Modeling Local and Global Context in (Road) Networks","author":"montoya-zegarra","year":"2014","journal-title":"Pattern Recognition"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00299"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2020.06.001"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0627-y"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2885055"},{"key":"ref6","first-page":"5099","article-title":"PointNet++: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-IV-1-W1-91-2017"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00067"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2882227"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_25"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.29"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01112"},{"key":"ref22","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2905595"},{"key":"ref24","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref23","article-title":"Tensorflow: Large-scale machine learning on heterogeneous distributed systems","author":"abadi","year":"2016","journal-title":"ArXiv Preprint"}],"event":{"name":"2021 International Conference on UK-China Emerging Technologies (UCET)","start":{"date-parts":[[2021,11,4]]},"location":"Chengdu, China","end":{"date-parts":[[2021,11,6]]}},"container-title":["2021 International Conference on UK-China Emerging Technologies (UCET)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9674219\/9674940\/09674983.pdf?arnumber=9674983","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T19:50:33Z","timestamp":1674503433000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9674983\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,4]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/ucet54125.2021.9674983","relation":{},"subject":[],"published":{"date-parts":[[2021,11,4]]}}}