2015. Sparse convolutional neural networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recogni- tion.H. Foroosh, M. Tappen, and M. Penksy, "Sparse Convolu- tional Neural Networks," in CVPR, 2015.Baoyuan Liu, Min Wang, Hassan Foroosh, Marshall Tappen, and ...
Sparse3Dconvolutionalneuralnetworks 系统标签: convolutionalsparseneuralcnnsnetworkslters Sparse3Dconvolutionalneuralnetworks BenGraham UniversityofWarwick b.graham@warwick.ac.uk May12,2015 Abstract Wehaveimplementedaconvolutionalneuralnetworkdesignedforpro- cessingsparsethree-dimensionalinputdata.Theworldweliveinisthre...
5、Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks(arXiv)https://arxiv.org/pdf/2108.06925 Yu-Qi Yang, Peng-Shuai Wang, Yang Liu 从3D输入中生成稀疏的非空voxels 的Sparse voxel-based CNN 被广泛应用于各种三维视觉任务。论文提出了一种简单而有效的填充方案——插值感知填充，在...
5、Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks https://arxiv.org/pdf/2108.06925 Yu-Qi Yang, Peng-Shuai Wang, Yang Liu 从3D输入中生成稀疏的非空voxels 的Sparse voxel-based CNN 被广泛应用于各种三维视觉任务。论文提出了一种简单而有效的填充方案——插值感知填充,在非空voxels...
5、Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks(arXiv) arxiv.org/pdf/2108.0692 Yu-Qi Yang, Peng-Shuai Wang, Yang Liu 从3D输入中生成稀疏的非空voxels 的Sparse voxel-based CNN 被广泛应用于各种三维视觉任务。论文提出了一种简单而有效的填充方案——插值感知填充,在非空voxels...
A sparse 3D point cloud produced by SfM, means initialization 点密集化:在点密集化阶段,3DGS自适应地增加高斯的密度,以更好地捕捉场景的细节。该过程特别关注缺失几何特征或高斯过于分散的区域。密集化在一定数量的迭代后执行,比如100个迭代,针对在视图空间中具有较大位置梯度(即超过特定阈值)的高斯。其包括在未...
The network learns from these sparse annotations and provides a dense 3D segmentation. (2) In a fully-automated setup, we assume that a representative, sparsely annotated training set exists. Trained on this data set, the network densely segments new volumetric images. The proposed network extends...
[3]:V ote3Deep: Fast Object Detection in 3D Point Clouds using Efficient Convolutional Neural Networks. [4]:Sparse 3D Convolutional Neural Networks. [18]:Octnet: Learning Deep 3D Representations at High Resolutions. [22]:V oting for voting in online point cloud object detection. 2|0二、Spat...
This paper presents a hardware-software co-design for efficient sparse deep neural networks (DNNs) implementation in a regular systolic array for real-time... S Liu,Z Zhao,Y Wang,... 被引量: 0发表: 2021年 Towards a Deep-Pipelined Architecture for Accelerating Deep GCN on a Multi-FPGA Pla...
* 题目: HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization* PDF: arxiv.org/abs/2308.0716* 作者: Patrick Glandorf,Timo Kaiser,Bodo Rosenhahn* 其他: ICCV'23 Workshops* 题目: An Outlook into the Future of Egocentric Vision* PDF: arxiv.org/abs/2308.0712...