Exploring the Regularity of Sparse Structure in Convolutional Neural Networks 方法介绍 目的: 探索稀疏性和预测精度之间的关系 能不能在稀疏性的规则中找到一个平衡点,这个点是如何提升硬件实现效率的 为了探索上面的问题,文章设置了几种不同的剪枝粒度等级,在前人的基础上进行对比实验,探索剪枝粒度和预测精度之间的...
CONVOLUTIONAL neural networksSKULLMNEMONICSENTORHINAL cortexTraditional convolutional neural network (CNN) methods rely on dense tensors, which makes them suboptimal for spatially sparse data. In this paper, we propose a CNN model based on sparse tensors for efficient processing of high-resolution shapes...
Liu, Baoyuan, et al. "Sparse convolutional neural networks." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015 Xie, Guotian, et al. "Interleaved structured sparse convolutional neural networks." Proceedings of the IEEE Conference on Computer Vision and Pattern Recogn...
Interleaved Structured Sparse Convolutional Neural Networks Guotian Xie, Jingdong Wang, Ting Zhang, Jianhuang Lai, Richang Hong, Guo-Jun Qi The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)|April 2018 Download BibTex In this paper, we study the problem of designing efficie...
Convolutional Neural Networks(2):Sparse Interactions, Receptive Field and Parameter Sharing Sparse Interactions, Receptive Field and Parameter Sharing是整个CNN深度网络的核心部分,我们用本文来具体分析其原理。 首先我们考虑Feedforward Neural Network,L层的输出矩阵,等于L层的输入矩阵与L层的权重矩阵做矩阵乘法,...
Anyone has interest to utilize the sparsity to accelerate DNNs? I am working on the fork https://github.com/wenwei202/caffe/tree/scnn and currently, on average, achieve ~5x CPU and ~3x GPU layer-wise speedups of convolutional layers in A...
3d convolutional neural networks for human action recognition 热度: Notes on Convolutional Neural Networks 热度: Deep Convolutional Neural Networks for Image Classification (实现图像识别的卷积深度神经网络) 热度: 相关推荐 Sparse3Dconvolutionalneuralnetworks BenGraham UniversityofWarwick b.graham@warwick....
[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. ...
The present invention relates to convolutional neural networks, and more particularly to primitive operations of a sparse convolutional neural network accelerator. BACKGROUND Driven by the availability of massive data and the computational capability to process it, deep learning has recently emerged as a...
Convolutional neural networkAdaptiveThe convolutional sparse coding-based super-resolution (CSC-SR) method has shown its good performance in single image super-resolution. It divides the low-resolution (LR) image into low-frequency part and the high-frequency part, and reconstructs their corresponding...