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Point cloud semantic segmentation from projected views, such as range-view (RV) and bird's-eye-view (BEV), has been intensively investigated.
Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 1915
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
Earlier work this paper cites.
Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, and Shuguang Cui · 2012
Earlier work this paper cites.
Matterport 3d models of interior spaces
Matterport Inc · 2015
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
Earlier work this paper cites.
3d semantic parsing of large-scale indoor spaces
Iro Armeni, Ozan Sener, Amir R Zamir, Helen Jiang, Ioannis Brilakis, Martin Fischer, and Silvio Savarese · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
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Pyramid scene parsing network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
Earlier work this paper cites.
The lovász-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks
Maxim Berman, Amal Rannen Triki, and Matthew B Blaschko · 2018
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Pointcnn: Convolution on x-transformed points
Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Xinhan Di, and Baoquan Chen · 2018
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Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
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Tangent convolutions for dense prediction in 3d
Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, and Qian-Yi Zhou · 2018
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Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud
Bichen Wu, Alvin Wan, Xiangyu Yue, and Kurt Keutzer · 2018
Cited alongside, same era.
Semantickitti: A dataset for semantic scene understanding of lidar sequences
Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, and Jurgen Gall · 2019
Cited alongside, same era.
Integrate point-cloud segmentation with 3d lidar scan-matching for mobile robot localization and mapping
Xuyou Li, Shitong Du, Guangchun Li, and Haoyu Li · 2019
Cited alongside, same era.
Rangenet++: Fast and accurate lidar semantic segmentation
Andres Milioto, Ignacio Vizzo, Jens Behley, and Cyrill Stachniss · 2019
Cited alongside, same era.
Kpconv: Flexible and deformable convolution for point clouds
Hugues Thomas, Charles R Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, and Leonidas J Guibas · 2019
Cited alongside, same era.
Deep learning for lidar point clouds in autonomous driving: A review
Ying Li, Lingfei Ma, Zilong Zhong, Fei Liu, Michael A Chapman, Dongpu Cao, and Jonathan Li · 2020
Later among the works it cites.
Amvnet: Assertion-based multi-view fusion network for lidar semantic segmentation
Venice Erin Liong, Thi Ngoc Tho Nguyen, Sergi Widjaja, Dhananjai Sharma, and Zhuang Jie Chong · 2020
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Searching efficient 3d architectures with sparse point-voxel convolution
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, and Song Han · 2020
Later among the works it cites.
Scan-based semantic segmentation of lidar point clouds: An experimental study
Larissa T Triess, David Peter, Christoph B Rist, and J Marius Zöllner · 2020
Later among the works it cites.
Squeezesegv3: Spatially-adaptive convolution for efficient point-cloud segmentation
Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, and Masayoshi Tomizuka · 2020
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Dynamic graph cnn for learning on point clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E Sarma, Michael M Bronstein, and Justin M Solomon · 2019
Cited alongside, same era.
Squeezesegv2: Improved model structure and unsupervised domain adaptation for road-object segmentation from a lidar point cloud
Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, and Kurt Keutzer · 2019
Cited alongside, same era.
Salsanet: Fast road and vehicle segmentation in lidar point clouds for autonomous driving
Eren Erdal Aksoy, Saimir Baci, and Selcuk Cavdar · 2020
Cited alongside, same era.
3d-mininet: Learning a 2d representation from point clouds for fast and efficient 3d lidar semantic segmentation
Inigo Alonso, Luis Riazuelo, Luis Montesano, and Ana C Murillo · 2020
Cited alongside, same era.
nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
Cited alongside, same era.
Mvlidarnet: Real-time multi-class scene understanding for autonomous driving using multiple views
Ke Chen, Ryan Oldja, Nikolai Smolyanskiy, Stan Birchfield, Alexander Popov, David Wehr, Ibrahim Eden, and Joachim Pehserl · 2020
Cited alongside, same era.
Salsanext: Fast, uncertainty-aware semantic segmentation of lidar point clouds
Tiago Cortinhal, George Tzelepis, and Eren Erdal Aksoy · 2020
Cited alongside, same era.
A novel system for off-line 3d seam extraction and path planning based on point cloud segmentation for arc welding robot
Lei Yang, Yanhong Liu, Jinzhu Peng, and Zize Liang · 2020
Later among the works it cites.
Multi projection fusion for real-time semantic segmentation of 3d lidar point clouds
Yara Ali Alnaggar, Mohamed Afifi, Karim Amer, and Mohamed ElHelw · 2021
Later among the works it cites.
2-s3net: Attentive feature fusion with adaptive feature selection for sparse semantic segmentation network
Ran Cheng, Ryan Razani, Ehsan Taghavi, Enxu Li, and Bingbing Liu · 2021
Later among the works it cites.
Tornado-net: multiview total variation semantic segmentation with diamond inception module
Martin Gerdzhev, Ryan Razani, Ehsan Taghavi, and Liu Bingbing · 2021
Later among the works it cites.
Rpvnet: A deep and efficient range-point-voxel fusion network for lidar point cloud segmentation
Jianyun Xu, Ruixiang Zhang, Jian Dou, Yushi Zhu, Jie Sun, and Shiliang Pu · 2021
Later among the works it cites.
Drinet++: Efficient voxel-as-point point cloud segmentation
Maosheng Ye, Rui Wan, Shuangjie Xu, Tongyi Cao, and Qifeng Chen · 2021
Later among the works it cites.
Cylindrical and asymmetrical 3d convolution networks for lidar segmentation
Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Yuexin Ma, Wei Li, Hongsheng Li, and Dahua Lin · 2021
Later among the works it cites.
Contrastive boundary learning for point cloud segmentation
Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, and Dacheng Tao · 2022
Closest in time.
2dpass: 2d priors assisted semantic segmentation on lidar point clouds
Xu Yan, Jiantao Gao, Chaoda Zheng, Chao Zheng, Ruimao Zhang, Shuguang Cui, and Zhen Li · 2022
Closest in time.