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Voxel-based methods have achieved state-of-the-art performance for 3D object detection in autonomous driving.
Sparse 3d convolutional neural networks
Benjamin Graham · 2015
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Spatially adaptive computation time for residual networks
Michael Figurnov, Maxwell D Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry Vetrov, and Ruslan Salakhutdinov · 2017
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Efficient processing of deep neural networks: A tutorial and survey
Vivienne Sze, Yu hsin Chen, Tien-Ju Yang, and Joel S. Emer · 2017
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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 · 2017
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Shufflenet: An extremely efficient convolutional neural network for mobile devices
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, and Jian Sun · 2017
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The 1cycle policy
Sylvain Gugger · 2018
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Channel gating neural networks
Weizhe Hua, Christopher De Sa, Zhiru Zhang, and G. Edward Suh · 2018
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Pointpillars: Fast encoders for object detection from point clouds
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2018
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Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
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4d spatio-temporal convnets: Minkowski convolutional neural networks
Christopher Choy, JunYoung Gwak, and Silvio Savarese · 2019
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Tanet: Robust 3d object detection from point clouds with triple attention
Zhe Liu, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou, and Xiang Bai · 2019
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Pointrcnn: 3d object proposal generation and detection from point cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
Earlier work this paper cites.
From points to parts: 3d object detection from point cloud with part-aware and part-aggregation network
Shaoshuai Shi, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2019
Cited alongside, same era.
Structure aware single-stage 3d object detection from point cloud
Chen-Hang He, Huiyu Zeng, Jianqiang Huang, Xiansheng Hua, and Lei Zhang · 2020
Cited alongside, same era.
Pv-rcnn: Point-voxel feature set abstraction for 3d object detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Openpcdet: An open-source toolbox for 3d object detection from point clouds
OpenPCDet Development Team · 2020
Cited alongside, same era.
Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl · 2021
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Fully sparse 3d object detection
Lue Fan, Feng Wang, Nai long Wang, and Zhaoxiang Zhang · 2022
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Latency-aware spatial-wise dynamic networks
Yizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song, Guangyu Sun, and Gao Huang · 2022
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Tiantian He, Haicang Zhou, Y. Ong, and Gao Cong · 2022
Later among the works it cites.
Glance and focus networks for dynamic visual recognition
Gao Huang, Yulin Wang, Kangchen Lv, Haojun Jiang, Wenhui Huang, Pengfei Qi, and Shiji Song · 2022
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Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, and Stephen Lin · 2020
Cited alongside, same era.
3dssd: Point-based 3d single stage object detector
Zetong Yang, Yanan Sun, Shu Liu, and Jiaya Jia · 2020
Cited alongside, same era.
Achieving real-time lidar 3d object detection on a mobile device
Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Wujie Wen, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, and Xue Lin · 2020
Cited alongside, same era.
Pointacc: Efficient point cloud accelerator
Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, and Song Han · 2021
Cited alongside, same era.
One million scenes for autonomous driving: Once dataset
Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chao Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, and Chunjing Xu · 2021
Cited alongside, same era.
Pytorch-Memory-Utils: pytorch memory track code
Oldpan · 2021
Cited alongside, same era.
Rsn: Range sparse net for efficient, accurate lidar 3d object detection
Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin F. Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, and Drago Anguelov · 2021
Cited alongside, same era.
Delving into the devils of bird’s-eye-view perception: A review, evaluation and recipe
Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Enze Xie, Zhiqi Li, Hanming Deng, Haonan Tian, Xizhou Zhu, Li Chen, Yulu Gao, Xiangwei Geng, Jianqiang Zeng, Yang Li, Jiazhi Yang, Xiaosong Jia, Bo Yu, Y. Qiao, Dahua Lin, Siqian Liu, Junchi Yan, Jianping Shi, and Ping Luo · 2022
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Spatial pruned sparse convolution for efficient 3d object detection
Jianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, and Xiaojuan Qi · 2022
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Torchsparse: Efficient point cloud inference engine
Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, and Song Han · 2022
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Pointdistiller: structured knowledge distillation towards efficient and compact 3d detection
Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, and Kaisheng Ma · 2022
Later among the works it cites.
Not all points are equal: Learning highly efficient point-based detectors for 3d lidar point clouds
Yifan Zhang, Qingyong Hu, Guoquan Xu, Yanxin Ma, Jianwei Wan, and Yulan Guo · 2022
Later among the works it cites.
Codedvtr: Codebook-based sparse voxel transformer with geometric guidance
Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, and Yu Wang · 2022
Later among the works it cites.
Voxelnext: Fully sparse voxelnet for 3d object detection and tracking
Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, and Jiaya Jia · 2023
Closest in time.
Super sparse 3d object detection
Lue Fan, Yuxue Cher Yang, Feng Wang, Nai long Wang, and Zhaoxiang Zhang · 2023
Closest in time.