DFT-3DLaneNet: Dual-Frequency Domain Enhanced Transformer for 3D Lane Detection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5588-2_19
Reference16 articles.
1. Bai, Y., Chen, Z., Fu, Z., Peng, L., Liang, P., Cheng, E.: Curveformer: 3d lane detection by curve propagation with curve queries and attention. In: 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 7062–7068. IEEE (2023)
2. Chen, L., et al.: Persformer: 3d lane detection via perspective transformer and the openlane benchmark. In: European Conference on Computer Vision, pp. 550–567. Springer (2022)
3. Cheng, T., et al.: Sparse instance activation for real-time instance segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 4433–4442 (2022)
4. Garnett, N., Cohen, R., Pe’er, T., Lahav, R., Levi, D.: 3d-lanenet: end-to-end 3d multiple lane detection. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 2921–2930 (2019)
5. Guo, Y., Su, Z., Lin, S., Lu, J., Zhong, X., Luo, X.: 3d medical model low-pass filtering based on non-uniform spectral synthesis. Comput. Aided Des. 104, 27–35 (2018)
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