OctNet swMATH ID: 36665 Software Authors: Gernot Riegler, Ali Osman Ulusoy, Andreas Geiger Description: OctNet: Learning Deep 3D Representations at High Resolutions. We present OctNet, a representation for deep learning with sparse 3D data. In contrast to existing models, our representation enables 3D convolutional networks which are both deep and high resolution. Towards this goal, we exploit the sparsity in the input data to hierarchically partition the space using a set of unbalanced octrees where each leaf node stores a pooled feature representation. This allows to focus memory allocation and computation to the relevant dense regions and enables deeper networks without compromising resolution. We demonstrate the utility of our OctNet representation by analyzing the impact of resolution on several 3D tasks including 3D object classification, orientation estimation and point cloud labeling. Homepage: https://arxiv.org/abs/1611.05009 Source Code: https://github.com/griegler/octnet Dependencies: Python Related Software: PointNet; VoxNet; ImageNet; VoxelNet; PointCNN; SPLATNet; PointSIFT; KITTI; DeepLab; ShapeNet; AlexNet; SqueezeSegV2; SnapNet; Faster R-CNN; YOLO; SYNTHIA Dataset; ScanNet; Mapillary Vistas; Grad-CAM; MinkowskiEngine Cited in: 11 Publications all top 5 Cited by 39 Authors 2 Balu, Aditya 2 Ghadai, Sambit 2 Krishnamurthy, Adarsh 2 Sarkar, Soumik 1 Behnke, Sven 1 Chen, Mingjia 1 Cui, Zhiming 1 Galliani, Silvano 1 Gao, Jiangjiang 1 Geiger, Andreas 1 Hackel, Timo 1 Han, Zhizhong 1 Hong, Fangzhou 1 Joseph-Rivlin, Mor 1 Kimmel, Ron 1 Lan, Jinhui 1 Lee, Xian Yeow 1 Li, Feifan 1 Liu, Ligang 1 Liu, Xinhai 1 Liu, Yu-Shen 1 Lopata, A. V. 1 Orlova, S. R. 1 Pai, Gautam P. 1 Ping, Yuhan 1 Quenzel, Jan 1 Rosu, Radu Alexandru 1 Schindler, Konrad 1 Sochen, Nir 1 Stutz, David 1 Usvyatsov, Mikhail 1 Wang, Bingxu 1 Wang, Changbo 1 Wang, Wenping 1 Wegner, Jan D. 1 Wei, Guodong 1 Yang, Lei 1 Zou, Qianfang 1 Zwicker, Matthias Cited in 4 Serials 5 Computer Aided Geometric Design 3 International Journal of Computer Vision 1 Machine Learning 1 Automation and Remote Control Cited in 3 Fields 7 Computer science (68-XX) 5 Numerical analysis (65-XX) 1 Information and communication theory, circuits (94-XX) Citations by Year