Funder
National Natural Science Foundation of China
Reference56 articles.
1. C.R. Qi, W. Liu, C. Wu, H. Su, L.J. Guibas, Frustum pointnets for 3D object detection from rgb-d data, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 918–927.
2. S. Shi, X. Wang, H. Li, Pointrcnn: 3D object proposal generation and detection from point cloud, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019, pp. 770–779.
3. S. Shi, C. Guo, L. Jiang, Z. Wang, J. Shi, X. Wang, H. Li, Pv-rcnn: Point-voxel feature set abstraction for 3D object detection, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 10529–10538.
4. Behind the curtain: Learning occluded shapes for 3D object detection;Xu,2021
5. W. Peng, H. Pan, H. Liu, Y. Sun, Ida-3D: Instance-depth-aware 3D object detection from stereo vision for autonomous driving, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 13015–13024.