Sparse 3D convolutional neural networks

We have implemented a convolutional neural network designed for processing sparse three-dimensional input data. The world we live in is three dimensional so there are a large number of potential applications. In the quest for eciency, we experiment with CNNs on the 2D triangular-lattice and 3D tetrahedral-lattice.

cs.CV Computer Science Mathematics Physics

View graph Source

Paper

Similar papers

Fast Sparse 3D Convolution Network with VDBZhou, Fangjun, Anyong Mao, Eftychios Sifakis2023 · arXiv (Cornell University) In Library

OctreeNet: A Novel Sparse 3-D Convolutional Neural Network for Real-Time 3-D Outdoor Scene AnalysisFei Wang, Yan Zhuang, Hong Gu et al.2020 · IEEE Transactions on Automation Science and Engineering · 21 citations In Library

Spatial Pruned Sparse Convolution for Efficient 3D Object DetectionJianhui Liu, Yukang Chen, Xiaoqing Ye et al.2022 · arXiv (Cornell University) · 54 citations In Library

3D Semantic Segmentation with Submanifold Sparse Convolutional NetworksBenjamin Graham, Martin Engelcke, L. Maaten2017 · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 1.9k citations In Library

4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural NetworksC. Choy, JunYoung Gwak, S. Savarese2019 · Computer Vision and Pattern Recognition · 2.4k citations In Library

Focal Sparse Convolutional Networks for 3D Object DetectionYukang Chen, Yanwei Li, Xiangyu Zhang et al.2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) In Library

Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional NetworksTimo Hackel, Mikhail (Misha) Usvyatsov, Silvano Galliani et al.2018 · International Journal of Computer Vision · 15 citations In Library

Focal Sparse Convolutional Networks for 3D Object DetectionYukang Chen, Yanwei Li, Xiangyu Zhang et al.2022 · arXiv (Cornell University) · 313 citations In Library

Resource Efficient 3D Convolutional Neural NetworksOkan Köpüklü, Neslihan Kose, Ahmet Gunduz et al.2019 · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) · 218 citations In Library

Spatially-sparse convolutional neural networksBenjamin Graham2014 · arXiv.org · 243 citations In Library

Source of record

arXiv

44B

Welcome.

This panel sticks with you. Pick anything below and it opens right beside it, so you can dig through 60,000-plus records without ever losing your spot here.

Travel 44B

LibraryPapers, policy, standards, statute LabsEvery organization building AI ModelsIntelligence, price, and speed BenchmarksThe evaluation catalog IncidentsAI failures and harms SearchOne field across everything DashboardThe state of AI accountability in NY 44B RegistryThe Art. 44-B compliance portal