1. Badrinarayanan, V., Kendall, A., Cipolla, R.: SegNet: a deep convolutional encoder-decoder architecture for image segmentation. CoRR arXiv:abs/1511.00561 (2015). http://arxiv.org/abs/1511.00561
2. Caesar, H., et al.: nuScenes: a multimodal dataset for autonomous driving. CoRR arXiv:abs/1903.11027 (2019). http://arxiv.org/abs/1903.11027
3. Chang, M.F., et al.: Argoverse: 3D tracking and forecasting with rich maps. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
4. Chen, X., Kundu, K., Zhang, Z., Ma, H., Fidler, S., Urtasun, R.: Monocular 3D object detection for autonomous driving. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2147–2156 (2016)
5. Ghiasi, G., Lin, T., Le, Q.V.: DropBlock: a regularization method for convolutional networks. CoRR arXiv:abs/1810.12890 (2018). http://arxiv.org/abs/1810.12890