Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations

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1906

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Shi, S., Wang, Z., Wang, X., Li, H.: Part-A 2 {}^{\mbox{2}} net: 3d part-aware and aggregation neural network for object detection from point cloud. CoRR abs/1907.03670

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1907

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Geiger, A., Lenz, P., Stiller, C., Urtasun, R.: Vision meets robotics: the KITTI dataset. The International Journal of Robotics Research 32

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Chen, X., Ma, H., Wan, J., Li, B., Xia, T.: Multi-view 3d object detection network for autonomous driving. CoRR abs/1611.07759

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2016

Cited alongside, same era.

Dauphin, Y.N., Fan, A., Auli, M., Grangier, D.: Language modeling with gated convolutional networks. CoRR abs/1612.08083

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2016

Cited alongside, same era.

Qi, C.R., Liu, W., Wu, C., Su, H., Guibas, L.J.: Frustum pointnets for 3d object detection from RGB-D data. CoRR abs/1711.08488

Original

2017

Cited alongside, same era.

Yan, Y., Mao, Y., Li, B.: SECOND: Sparsely embedded convolutional detection. Sensors 18

2018

Later among the works it cites.

Qin, C., You, H., Wang, L., Kuo, C.C.J., Fu, Y.: Pointdan: A multi-scale 3d domain adaption network for point cloud representation (2019)

2019

Later among the works it cites.

Shi, S., Guo, C., Jiang, L., Wang, Z., Shi, J., Wang, X., Li, H.: PV-RCNN: Point-voxel feature set abstraction for 3d object detection. ArXiv abs/1912.13192

Original

2019

Later among the works it cites.