Fetching the paper…
Reading the bibliography…
Recent advances on 3D object detection heavily rely on how the 3D data are represented, \emph{i.e.}, voxel-based or point-based representation.
Patch refinement–localized 3D object detection
Lehner, J.; Mitterecker, A.; Adler, T.; Hofmarcher, M.; Nessler, B.; and Hochreiter, S. 2019 · 1910
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. 2019 · 1960
Earlier work this paper cites.
Afdet: Anchor free one stage 3d object detection
Ge, R.; Ding, Z.; Hu, Y.; Wang, Y.; Chen, S.; Huang, L.; and Li, Y. 2020 · 2006
Earlier work this paper cites.
A Closer Look at Local Aggregation Operators in Point Cloud Analysis
Liu, Z.; Hu, H.; Cao, Y.; Zhang, Z.; and Tong, X. 2020a · 2007
Earlier work this paper cites.
Pillar-based object detection for autonomous driving
Wang, Y.; Fathi, A.; Kundu, A.; Ross, D.; Pantofaru, C.; Funkhouser, T.; and Solomon, J. 2020 · 2007
Earlier work this paper cites.
Are we ready for autonomous driving?
Geiger, A.; Lenz, P.; and Urtasun, R. 2012 · 2012
Earlier work this paper cites.
Fast r-cnn
Girshick, R. 2015 · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Ren, S.; He, K.; Girshick, R.; and Sun, J. 2015 · 2015
Earlier work this paper cites.
Ssd: Single shot multibox detector
Liu, W.; Anguelov, D.; Erhan, D.; Szegedy, C.; Reed, S.; Fu, C.-Y.; and Berg, A. C. 2016 · 2016
Earlier work this paper cites.
Focal loss for dense object detection
Lin, T.-Y.; Goyal, P.; Girshick, R.; He, K.; and Dollár, P. 2017 · 2017
Earlier work this paper cites.
YOLO9000: better, faster, stronger
Redmon, J.; and Farhadi, A. 2017 · 2017
Earlier work this paper cites.
Inception-v4, inception-resnet and the impact of residual connections on learning
Szegedy, C.; Ioffe, S.; Vanhoucke, V.; and Alemi, A. A. 2017 · 2017
Cited alongside, same era.
Acquisition of localization confidence for accurate object detection
Jiang, B.; Luo, R.; Mao, J.; Xiao, T.; and Jiang, Y. 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.
Complex-YOLO: An euler-region-proposal for real-time 3D object detection on point clouds
Simon, M.; Milz, S.; Amende, K.; and Gross, H.-M. 2018 · 2018
Cited alongside, same era.
Second: Sparsely embedded convolutional detection
Pointrcnn: 3d object proposal generation and detection from point cloud
Shi, S.; Wang, X.; and Li, H. 2019 · 2019
Later among the works it cites.
Fast point r-cnn
Yilun Chen, Shu Liu, X. S.; and Jia, J. 2019 · 2019
Later among the works it cites.
3D Object Detection Using Scale Invariant and Feature Reweighting Networks
Zhao, X.; Liu, Z.; Hu, R.; and Huang, K. 2019 · 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
Closest in time.
Structure aware single-stage 3d object detection from point cloud
He, C.; Zeng, H.; Huang, J.; Hua, X.-S.; and Zhang, L. 2020 · 2020
Closest in time.
RandLA-Net: Efficient semantic segmentation of large-scale point clouds
Hu, Q.; Yang, B.; Xie, L.; Rosa, S.; Guo, Y.; Wang, Z.; Trigoni, N.; and Markham, A. 2020 · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yan, Y.; Mao, Y.; and Li, B. 2018 · 2018
Cited alongside, same era.
Pixor: Real-time 3d object detection from point clouds
Yang, B.; Luo, W.; and Urtasun, R. 2018 · 2018
Cited alongside, same era.
Voxelnet: End-to-end learning for point cloud based 3d object detection
Zhou, Y.; and Tuzel, O. 2018 · 2018
Cited alongside, same era.
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.
Gs3d: An efficient 3d object detection framework for autonomous driving
Li, B.; Ouyang, W.; Sheng, L.; Zeng, X.; and Wang, X. 2019 · 2019
Cited alongside, same era.
Multi-task multi-sensor fusion for 3d object detection
Liang, M.; Yang, B.; Chen, Y.; Hu, R.; and Urtasun, R. 2019 · 2019
Cited alongside, same era.
TANet: Robust 3D object detection from point clouds with triple attention
Liu, Z.; Zhao, X.; Huang, T.; Hu, R.; Zhou, Y.; and Bai, X. 2020b
Cited in the paper.
Closest in time.
Scalability in perception for autonomous driving: Waymo open dataset
Sun, P.; Kretzschmar, H.; Dotiwalla, X.; Chouard, A.; Patnaik, V.; Tsui, P.; Guo, J.; Zhou, Y.; Chai, Y.; Caine, B.; et al. 2020 · 2020
Closest in time.
OpenPCDet: An Open-source Toolbox for 3D Object Detection from Point Clouds
Team, O. D. 2020 · 2020
Closest in time.
3DSSD: Point-based 3D single stage object detector
Yang, Z.; Sun, Y.; Liu, S.; and Jia, J. 2020 · 2020
Closest in time.
HVNet: Hybrid voxel network for LiDAR based 3D object detection
Ye, M.; Xu, S.; and Cao, T. 2020 · 2020
Closest in time.
End-to-end multi-view fusion for 3d object detection in lidar point clouds
Zhou, Y.; Sun, P.; Zhang, Y.; Anguelov, D.; Gao, J.; Ouyang, T.; Guo, J.; Ngiam, J.; and Vasudevan, V. 2020 · 2020
Closest in time.