Vote-Based 3D Object Detection with Context Modeling and SOB-3DNMS
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s11263-021-01456-w.pdf
Reference73 articles.
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3. Cao, Y., Xu, J., Lin, S., Wei, F., & Hu, H. (2019). Gcnet: Non-local networks meet squeeze-excitation networks and beyond. In Proceedings of the IEEE international conference on computer vision workshops.
4. Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., & Zagoruyko, S. (2020). End-to-end object detection with transformers. arXiv preprint arXiv:2005.12872.
5. Chen, Z., Huang, S., & Tao, D. (2018). Context refinement for object detection. In Proceedings of the European conference on computer vision (ECCV) (pp. 71–86).
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