Funder
China Scholarship Council
Natural Environment Research Council
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference100 articles.
1. Aksoy, E. E., Baci, S., & Cavdar, S. (2019). Salsanet: Fast road and vehicle segmentation in LiDAR point clouds for autonomous driving. In 2020 IEEE intelligent vehicles symposium (IV) (pp. 926–932).
2. Armeni, I., Sax, S., Zamir, A. R., & Savarese, S. (2017). Joint 2D-3D-semantic data for indoor scene understanding. In Proceedings of the IEEE/CVF international conference on computer vision.
3. Behley, J., Garbade, M., Milioto, A., Quenzel, J., Behnke, S., Stachniss, C., & Gall, J. (2019). SemanticKITTI: A dataset for semantic scene understanding of LiDAR sequences. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 9297–9307)
4. Berman, M., Rannen Triki, A., & Blaschko, M. B. (2018). The lovász-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 4413–4421).
5. Boulch, A. (2019). Generalizing discrete convolutions for unstructured point clouds. arXiv preprint arXiv:1904.02375.
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