최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국정보통신학회논문지 = Journal of the Korea Institute of Information and Communication Engineering, v.26 no.9, 2022년, pp.1330 - 1339
김규민 (School of Electronics and Information Engineering, Korea Aerospace University) , 백중환 (School of Electronics and Information Engineering, Korea Aerospace University) , 김희영 (LinktoTo Co. Ltd)
3D object detection generally aims to detect relatively large data such as automobiles, buses, persons, furniture, etc, so it is vulnerable to small object detection. In addition, in an environment with limited resources such as embedded devices, it is difficult to apply the model because of the hug...
A. Geiger, P. Lenz, C. Stiller, and R. Urtasun, "Vision meets Robotics: The KITTI Dataset," The International Journal of Robotics Research, vol. 32, no. 11, pp. 1231-1237, Aug. 2013.
S. Song, S. P. Lichtenberg, and J. Xiao, "SUN RGB-D: A RGB-D scene understanding benchmark suite," in Proceedings of the IEEE conference on computer vision and pattern recognition, Boston: MA, USA, pp. 567-576, 2015.
I. Armeni, O. Sener, A. R. Zamir, H. Jiang, I. Brilakis, M. Fischer, and S. Savarese, "3D Semantic Parsing of Large-Scale Indoor Spaces," in Proceedings of the IEEE conference on computer vision and pattern recognition, Las Vegas: NV, USA, pp. 1534-1543, 2016.
D. Rukhovich, A. Vorontsova, and A. Konushin, "FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection," arXiv Preprint arXiv:2112.00322, 2021.
R. Q. Charles, H. Su, M. Kaichun, and L. J. Guibas, "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Honolulu: HI, USA, pp. 652-660, 2017.
J. Deng, S. Shi, P. Li, W. Zhou, Y. Zhang, and H. Li, "Voxel R-CNN: Towards High Performance Voxel-Based 3D Object Detection," in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, pp. 1201-1209, 2021.
S. Shi, C. Guo, L. Jiang, Z. Wang, J. Shi, X. Wang, and H. Li, "PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Virtual, pp. 10529-10538, 2020.
Y. Zhou and O. Tuzel, "VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City: UT, USA, pp. 4490-4499, 2018.
Y. Yan, Y. Mao, and B. Li, "SECOND: Sparsely Embedded Convolutional Detection," Sensors, vol. 18, no. 10, p. 3337, Oct. 2018.
B. Graham, "Sparse 3D convolutional neural networks," arXiv Preprint arXiv:1409.6070, 2015.
C. Sager, P. Zschech, and N. Kuhl, "labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds," arXiv Preprint arXiv:2103.04970, 2021.
I. Misra, R. Girdhar, and A. Joulin, "An End-to-End Transformer Model for 3D Object Detection," in Proceedings of the IEEE/CVF International Conference on Computer Vision, Virtual, pp. 2906-2917, 2021.
Z. Zhang, B. Sun, H. Yang, and Q. Huang, "H3DNet: 3D Object Detection Using Hybrid Geometric Primitives," in Computer Vision - ECCV 2020, Glasgow, UK, pp. 311-329, 2020.
Z. Liu, Z. Zhang, Y. Cao, H. Hu, and X. Tong, "Group-Free 3D Object Detection via Transformers," in Proceedings of the IEEE/CVF International Conference on Computer Vision, Virtual, pp. 2949-2958, 2021.
B. Cheng, L. Sheng, S. Shi, M. Yang, and D. Xu, "Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Nashville: TN, USA, pp. 8963-8972, 2021.
C. R. Qi, O. Litany, K. He, and L. J. Guibas, "Deep Hough Voting for 3D Object Detection in Point Clouds," in Proceedings of the IEEE/CVF International Conference on Computer Vision, Seoul, Korea, pp. 9277-9286, 2019.
P. Cignoni, M. Callieri, M. Corsini, M. Dellepiane, F. Ganovelli, and G. Ranzuglia, "MeshLab: an Open-Source Mesh Processing Tool," in Eurographics Italian Chapter Conference, Salerno, Italy, vol. 2008, pp. 129-136, 2008.
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