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In this paper, we propose PointSeg, a real-time end-to-end semantic segmentation method for road-objects based on spherical images.
Z. Lin, J. Jin, and H. Talbot, “Unseeded region growing for 3d image segmentation,” in Selected papers from the Pan-Sydney workshop on Visualisation-Volume 2 . Australian Computer Society, Inc., 2000, pp. 31–37
2000
Earlier work this paper cites.
R. Schnabel, R. Wahl, and R. Klein, “Efficient ransac for point-cloud shape detection,” in Computer graphics forum , vol. 26, no. 2. Wiley Online Library, 2007, pp. 214–226
2007
Earlier work this paper cites.
M. Himmelsbach, A. Mueller, T. Lüttel, and H.-J. Wünsche, “Lidar-based 3d object perception,” in Proceedings of 1st international workshop on cognition for technical systems , vol. 1, 2008
2008
Earlier work this paper cites.
P. Krähenbühl and V. Koltun, “Efficient inference in fully connected crfs with gaussian edge potentials,” in Advances in neural information processing systems , 2011, pp. 109–117
2011
Earlier work this paper cites.
J. Duchi, E. Hazan, and Y. Singer, “Adaptive subgradient methods for online learning and stochastic optimization,” Journal of Machine Learning Research , vol. 12, no. Jul, pp. 2121–2159, 2011
2011
Earlier work this paper cites.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in Advances in neural information processing systems , 2012, pp. 1097–1105
2012
Earlier work this paper cites.
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, 2013
2013
Earlier work this paper cites.
C. Feng, Y. Taguchi, and V. R. Kamat, “Fast plane extraction in organized point clouds using agglomerative hierarchical clustering,” in Robotics and Automation (ICRA), 2014 IEEE International Conference on . IEEE, 2014, pp. 6218–6225
2014
Earlier work this paper cites.
J. Long, E. Shelhamer, and T. Darrell, “Fully convolutional networks for semantic segmentation,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2015, pp. 3431–3440
2015
Earlier work this paper cites.
2015
Earlier work this paper cites.
2015
Cited alongside, same era.
2016
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2017
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H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia, “Pyramid scene parsing network,” in IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , 2017, pp. 2881–2890
2017
Cited alongside, same era.
X. Chen, H. Ma, J. Wan, B. Li, and T. Xia, “Multi-view 3d object detection network for autonomous driving,” in IEEE CVPR , vol. 1, no. 2, 2017, p. 3
2017
Later among the works it cites.
C. R. Qi, H. Su, K. Mo, and L. J. Guibas, “Pointnet: Deep learning on point sets for 3d classification and segmentation,” Proc. Computer Vision and Pattern Recognition (CVPR), IEEE , vol. 1, no. 2, p. 4, 2017
2017
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2017
Later among the works it cites.
2017
Later among the works it cites.
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2017
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V. Badrinarayanan, A. Kendall, and R. Cipolla, “Segnet: A deep convolutional encoder-decoder architecture for image segmentation,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 39, no. 12, pp. 2481–2495, Dec 2017
2017
Cited alongside, same era.
2017
Cited alongside, same era.
G. Lin, A. Milan, C. Shen, and I. Reid, “RefineNet: Multi-path refinement networks for high-resolution semantic segmentation,” in CVPR , July 2017
2017
Cited alongside, same era.
B. Li, “3d fully convolutional network for vehicle detection in point cloud,” in Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on . IEEE, 2017, pp. 1513–1518
2017
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2017
Cited alongside, same era.
2017
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2017
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R. Dubé, A. Cramariuc, D. Dugas, J. Nieto, R. Siegwart, and C. Cadena, “SegMap: 3d segment mapping using data-driven descriptors,” in Robotics: Science and Systems (RSS) , 2018
2018
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R. Dubé, M. G. Gollub, H. Sommer, I. Gilitschenski, R. Siegwart, C. Cadena, and J. Nieto, “Incremental-segment-based localization in 3-d point clouds,” IEEE Robotics and Automation Letters , vol. 3, no. 3, pp. 1832–1839, 2018
2018
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L. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille, “Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 40, no. 4, pp. 834–848, April 2018
2018
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