[Paper Review] PETR: Position Embedding Transformation for Multi-View 3D Object Detection
Liu, Y., Wang, T., Zhang, X., & Sun, J. (2022, October). Petr: Position embedding transformation for multi-view 3d object detection. In Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXVII (pp. 531-548). Cham: Springer Nature Switzerland.
2023.06.30
3D Object Detection
[Paper Review] BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
Li, Z., Wang, W., Li, H., Xie, E., Sima, C., Lu, T., ... & Dai, J. (2022). BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers. arXiv preprint arXiv:2203.17270.
2022.07.30
[Paper Review] DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries
Wang, Y., Guizilini, V. C., Zhang, T., Wang, Y., Zhao, H., & Solomon, J. (2022, January). Detr3d: 3d object detection from multi-view images via 3d-to-2d queries. In Conference on Robot Learning (pp. 180-191). PMLR.
2022.07.15
[Paper Review] FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
Wang, T., Zhu, X., Pang, J., & Lin, D. (2021). Fcos3d: Fully convolutional one-stage monocular 3d object detection. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 913-922).
2022.06.24