{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:21:12Z","timestamp":1740169272560,"version":"3.37.3"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971078","61501070"],"award-info":[{"award-number":["61971078","61501070"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3190966","type":"journal-article","created":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T19:36:54Z","timestamp":1657827414000},"page":"74620-74628","source":"Crossref","is-referenced-by-count":2,"title":["Enhancing the Local Graph Semantic Feature for 3D Point Cloud Classification and Segmentation"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7847-3807","authenticated-orcid":false,"given":"Yong","family":"Wang","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Chongqing University of Technology, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9376-7005","authenticated-orcid":false,"given":"Xintong","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Chongqing University of Technology, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenke","family":"Yue","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Chongqing University of Technology, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3005434"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2928550"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.691"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3049829"},{"key":"ref5","first-page":"1","article-title":"PointNet: Deep hierarchical feature learning on point sets in a metric space","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Qi"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00571"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00088"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00246"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref14","article-title":"Spatial group-wise enhance: Improving semantic feature learning in convolutional networks","author":"Li","year":"2019","journal-title":"arXiv:1905.09646"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.11"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_4"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00936"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00979"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01054"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1044"},{"key":"ref22","article-title":"Bidirectional attention flow for machine comprehension","author":"Seo","year":"2016","journal-title":"arXiv:1611.01603"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00344"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350960"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01595"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-021-0229-5"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR56361.2022.9956172"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.114"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240702"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00937"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.99"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00054"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01297"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298801"},{"key":"ref35","first-page":"1","article-title":"PointCNN: Convolution on X-transformed points","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Li"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00478"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00187"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2980179.2980238"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09829549.pdf?arnumber=9829549","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T06:38:20Z","timestamp":1706769500000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9829549\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3190966","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2022]]}}}