{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T16:32:03Z","timestamp":1778257923017,"version":"3.51.4"},"reference-count":46,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,30]]},"DOI":"10.1109\/icra48506.2021.9561255","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:28:35Z","timestamp":1634689715000},"page":"2457-2464","source":"Crossref","is-referenced-by-count":45,"title":["LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation"],"prefix":"10.1109","author":[{"given":"Peng","family":"Jiang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Srikanth","family":"Saripalli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990497"},{"key":"ref33","article-title":"Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds","author":"yi","year":"2020"},{"key":"ref32","article-title":"PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation","volume":"32","author":"qin","year":"2019","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00285"},{"key":"ref30","article-title":"Domain Adaptation for Vehicle Detection from Bird&#x2019;s Eye View LiDAR Point Cloud Data","author":"saleh","year":"2019"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_23"},{"key":"ref36","first-page":"12 602","article-title":"xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation","author":"jaritz","year":"0","journal-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref35","first-page":"8263","article-title":"Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks","author":"langer","year":"0","journal-title":"2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"},{"key":"ref34","article-title":"ePointDA: An end-to-end simulation-to-real domain adaptation framework for LiDAR point cloud segmentation","author":"zhao","year":"0"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2958671"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00533"},{"key":"ref11","article-title":"A Review of Point Cloud Semantic Segmentation","author":"xie","year":"0","journal-title":"IEEE Geoscience and Remote Sensing Magazine"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.609"},{"key":"ref14","first-page":"1912","article-title":"3D ShapeNets: A deep representation for volumetric shapes","volume":"7 12 june 2015","author":"wu","year":"0","journal-title":"Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24926\/548719.085"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00961"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00319"},{"key":"ref18","first-page":"16100","article-title":"Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution","author":"tang","year":"2020"},{"key":"ref19","first-page":"5100","article-title":"PointNet++: Deep hierarchical feature learning on point sets in a metric space","volume":"2017 decem","author":"qi","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793495"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00939"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00088"},{"key":"ref3","article-title":"D$^2$-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios","author":"che","year":"2019","journal-title":"Tech Rep"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967762"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814047"},{"key":"ref5","doi-asserted-by":"crossref","DOI":"10.1109\/IV47402.2020.9304596","article-title":"SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances","author":"pan","year":"2020"},{"key":"ref8","first-page":"343","article-title":"Domain separation networks","author":"bousmalis","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref7","article-title":"SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving","author":"cortinhal","year":"2020"},{"key":"ref2","article-title":"A2D2: Audi Autonomous Driving Dataset","author":"geyer","year":"2020"},{"key":"ref9","first-page":"3162","article-title":"CyCADA: Cycle-Consistent Adversarial Domain adaptation","volume":"5","author":"hoffman","year":"0"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3005434"},{"key":"ref46","article-title":"Adversarial learning for semi-supervised semantic segmentation","author":"hung","year":"0"},{"key":"ref20","first-page":"77","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","volume":"2017 janua","author":"qi","year":"2017","journal-title":"Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition CVPR 2017"},{"key":"ref45","article-title":"Instance Normalization: The Missing Ingredient for Fast Stylization","author":"ulyanov","year":"2016"},{"key":"ref22","first-page":"1","article-title":"PointCNN: Convolution On X-Transformed Points","author":"li","year":"2018","journal-title":"ArXiv"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00651"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0733-5"},{"key":"ref24","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume":"1","author":"long","year":"0"},{"key":"ref41","article-title":"Semantic Segmentation using Adversarial Networks","author":"luc","year":"2016"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793495"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref43","article-title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","volume":"32","author":"paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref25","article-title":"Deep Domain Confusion: Maximizing for Domain Invariance","author":"tzeng","year":"2014","journal-title":"CoRR"}],"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\/09561255.pdf?arnumber=9561255","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,12]],"date-time":"2023-01-12T22:54:26Z","timestamp":1673564066000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9561255\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,30]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/icra48506.2021.9561255","relation":{},"subject":[],"published":{"date-parts":[[2021,5,30]]}}}