{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T16:54:21Z","timestamp":1780764861179,"version":"3.54.1"},"reference-count":38,"publisher":"IEEE","license":[{"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,30]]},"DOI":"10.1109\/icra48506.2021.9561305","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:28:35Z","timestamp":1634689715000},"page":"14040-14046","source":"Crossref","is-referenced-by-count":46,"title":["S3Net: 3D LiDAR Sparse Semantic Segmentation Network"],"prefix":"10.1109","author":[{"given":"Ran","family":"Cheng","sequence":"first","affiliation":[{"name":"Huawei Noah’s Ark Lab,Toronto,Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryan","family":"Razani","sequence":"additional","affiliation":[{"name":"Huawei Noah’s Ark Lab,Toronto,Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Ren","sequence":"additional","affiliation":[{"name":"Huawei Noah’s Ark Lab,Toronto,Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liu","family":"Bingbing","sequence":"additional","affiliation":[{"name":"Huawei Noah’s Ark Lab,Toronto,Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref38","article-title":"An exponential learning rate schedule for deep learning","author":"li","year":"2019"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2953639"},{"key":"ref32","first-page":"7132","article-title":"Squeeze-and-excitation networks","author":"hu","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref31","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2015"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00961"},{"key":"ref37","article-title":"Randla-net: Efficient semantic segmentation of large-scale point clouds","author":"hu","year":"2019"},{"key":"ref36","article-title":"Latticenet: Fast point cloud segmentation using permutohedral lattices","author":"rosu","year":"2019"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-1485"},{"key":"ref34","first-page":"8778","article-title":"Generalized cross entropy loss for training deep neural networks with noisy labels","author":"zhang","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967762"},{"key":"ref11","article-title":"Salsanet: Fast road and vehicle segmentation in lidar point clouds for autonomous driving","author":"aksoy","year":"2019"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2852843"},{"key":"ref13","article-title":"Complex-yolo: Realtime 3d object detection on point clouds","author":"simon","year":"2018","journal-title":"CoRR"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967762"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-58604-1_1","article-title":"Squeezesegv3: Spatially-adaptive convolution for efficient point-cloud segmentation","author":"xu","year":"2020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197193"},{"key":"ref17","article-title":"Kprnet: Improving projection-based lidar semantic segmentation","author":"kochanov","year":"2020"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00651"},{"key":"ref19","article-title":"Deep fusionnet for point cloud semantic segmentation","author":"zhang","year":"0"},{"key":"ref28","article-title":"Cylinder3d: An effective 3d framework for driving-scene lidar semantic segmentation","author":"zhou","year":"2020"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2016.XII.042"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00067"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/rob.20147"},{"key":"ref6","article-title":"Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding","author":"kendall","year":"2015"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00859"},{"key":"ref5","article-title":"Salsanext: Fast semantic segmentation of lidar point clouds for autonomous driving","author":"cortinhal","year":"2020"},{"key":"ref8","article-title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","author":"qi","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8462926"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00939"},{"key":"ref9","first-page":"5099","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00319"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01112"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00962"},{"key":"ref21","article-title":"Latticenet: Fast point cloud segmentation using permutohedral lattices","author":"rosu","year":"2020"},{"key":"ref24","article-title":"Searching efficient 3d architectures with sparse point-voxel convolution","author":"tang","year":"2020","journal-title":"European Conference on Computer Vision"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3007440"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2965390"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900038"}],"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\/09561305.pdf?arnumber=9561305","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:22:39Z","timestamp":1659482559000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9561305\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,30]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/icra48506.2021.9561305","relation":{},"subject":[],"published":{"date-parts":[[2021,5,30]]}}}