Fetching the paper…
Reading the bibliography…
Although point-based networks are demonstrated to be accurate for 3D point cloud modeling, they are still falling behind their voxel-based competitors in 3D detection.
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
Liu, Z.; Zhao, X.; Huang, T.; Hu, R.; Zhou, Y.; and Bai, X. 2020 · 1912
Earlier work this paper cites.
Multi-view 3d object detection network for autonomous driving
Chen, X.; Ma, H.; Wan, J.; Li, B.; and Xia, T. 2017 · 1915
Earlier work this paper cites.
Std: Sparse-to-dense 3d object detector for point cloud
Yang, Z.; Sun, Y.; Liu, S.; Shen, X.; and Jia, J. 2019b · 1960
Earlier work this paper cites.
Yoo, J. H.; Kim, Y.; Kim, J. S.; and Choi, J. W. 2020 · 2004
Earlier work this paper cites.
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
Deng, J.; Shi, S.; Li, P.; Zhou, W.; Zhang, Y.; and Li, H. 2020 · 2012
Earlier work this paper cites.
Are we ready for autonomous driving? the kitti vision benchmark suite
Geiger, A.; Lenz, P.; and Urtasun, R. 2012 · 2012
Earlier work this paper cites.
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
Zheng, W.; Tang, W.; Chen, S.; Jiang, L.; and Fu, C.-W. 2020 · 2012
Earlier work this paper cites.
Sparse convolutional neural networks
Liu, B.; Wang, M.; Foroosh, H.; Tappen, M.; and Pensky, M. 2015 · 2015
Earlier work this paper cites.
Deep sliding shapes for amodal 3d object detection in rgb-d images
Song, S.; and Xiao, J. 2016 · 2016
Earlier work this paper cites.
Birdnet: a 3d object detection framework from lidar information
Beltrán, J.; Guindel, C.; Moreno, F. M.; Cruzado, D.; Garcia, F.; and De La Escalera, A. 2018 · 2018
Cited alongside, same era.
Joint 3d proposal generation and object detection from view aggregation
Ku, J.; Mozifian, M.; Lee, J.; Harakeh, A.; and Waslander, S. L. 2018 · 2018
Cited alongside, same era.
Frustum pointnets for 3d object detection from rgb-d data
Qi, C. R.; Liu, W.; Wu, C.; Su, H.; and Guibas, L. J. 2018 · 2018
Cited alongside, same era.
Second: Sparsely embedded convolutional detection
Yan, Y.; Mao, Y.; and Li, B. 2018 · 2018
Cited alongside, same era.
Fast point r-cnn
Chen, Y.; Liu, S.; Shen, X.; and Jia, J. 2019 · 2019
Cited alongside, same era.
Progressive lidar adaptation for road detection
Chen, Z.; Zhang, J.; and Tao, D. 2019 · 2019
Cited alongside, same era.
Super-convergence: Very fast training of neural networks using large learning rates
Smith, L. N.; and Topin, N. 2019 · 2019
Later among the works it cites.
Voxelnet: End-to-end learning for point cloud based 3d object detection
Zhou, Y.; and Tuzel, O. 2018 · 2019
Later among the works it cites.
nuscenes: A multimodal dataset for autonomous driving
Caesar, H.; Bankiti, V.; Lang, A. H.; Vora, S.; Liong, V. E.; Xu, Q.; Krishnan, A.; Pan, Y.; Baldan, G.; and Beijbom, O. 2020 · 2020
Later among the works it cites.
Structure aware single-stage 3d object detection from point cloud
He, C.; Zeng, H.; Huang, J.; Hua, X.-S.; and Zhang, L. 2020 · 2020
Later among the works it cites.
SampleNet: differentiable point cloud sampling
Lang, I.; Manor, A.; and Avidan, S. 2020 · 2020
Later among the works it cites.
Adaptive hierarchical down-sampling for point cloud classification
Nezhadarya, E.; Taghavi, E.; Razani, R.; Liu, B.; and Luo, J. 2020 · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Pointpillars: Fast encoders for object detection from point clouds
Lang, A. H.; Vora, S.; Caesar, H.; Zhou, L.; Yang, J.; and Beijbom, O. 2019 · 2019
Cited alongside, same era.
Deep hough voting for 3d object detection in point clouds
Qi, C. R.; Litany, O.; He, K.; and Guibas, L. J. 2019 · 2019
Cited alongside, same era.
Pointrcnn: 3d object proposal generation and detection from point cloud
Shi, S.; Wang, X.; and Li, H. 2019 · 2019
Cited alongside, same era.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Qi, C. R.; Su, H.; Mo, K.; and Guibas, L. J. 2017a
Cited in the paper.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Qi, C. R.; Yi, L.; Su, H.; and Guibas, L. J. 2017b
Cited in the paper.
Pv-rcnn: Point-voxel feature set abstraction for 3d object detection
Shi, S.; Guo, C.; Jiang, L.; Wang, Z.; Shi, J.; Wang, X.; and Li, H. 2020a
Cited in the paper.
Later among the works it cites.
OpenPCDet: An Open-source Toolbox for 3D Object Detection from Point Clouds
Team, O. D. 2020 · 2020
Later among the works it cites.
3dssd: Point-based 3d single stage object detector
Yang, Z.; Sun, Y.; Liu, S.; and Jia, J. 2020 · 2020
Later among the works it cites.
Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things
Zhang, J.; and Tao, D. 2020 · 2020
Later among the works it cites.