To address these problems, a multi-scale dense network (MD-Net) that can make full use of multi-scale information and encoder features is proposed in this paper. In this work, residual atrous spatial pyramid pooling (Res-ASPP) modules are embedded in the encoder to extract multi-scale ...
解决:Multi-scale features maps 让所有的分类器仅使用coarse-level features,在特定层的feature map 通过concatenate一个或两个卷积来进行计算,包括两种情况:一是对于将常规卷积应用于前一层的相同scale特征上的结果(Figure2中水平连接)二是对于前一层对fine-sale的特征图应用跨步卷积的结果(Figure2中对角线连接)。水...
1.题目:Multi-scale Dense Networks for Deep High Dynamic Range Imaging 2.主要内容: 2.1 先对齐再融合的方法生成hdr会产生难以去除的artifact。因此本文提出了一种多尺度融合的神经网络来避免这个artifact的影响。通过多尺度信息,在去除artifact的同时还保存了更多的细节。纯用CNN去artifact没法保证所有的artifact都去掉...
to generate and maintain coarse level features throughout the network and to inter-connect the layers with dense connectivity. The former allows us to introduce intermediate classifiers even at early layers and
Multi-scale densenets [23] does not target and cannot generate reliable high-resolution representations. 1. Method 本质:平行连接高分辨率子网络与低分辨率子网络。旧方法都是串联。因此,我们的方法能够保持高分辨率,而不是通过一个低到高的过程恢复分辨率,因此预测的热图可能在空间上更精确。 大多数现有的...
This repository provides the code for the paper Multi-Scale Dense Networks for Resource Efficient Image Classification. Update on April 3, 2019 -- PyTorch implementation released! A PyTorch implementation of MSDNet can be found from here. Introduction This paper studies convolutional networks that requi...
(LSTM) network to monitor machine health. The parameters about the CNN and RNN models are usually huge, which are difficult to train and easily overfitting. Multi-scale Dense Gate Recurrent Unit Networks (MDGRU) is a new deep learning network designed to weaken the above concerns. Several ...
【论文笔记】MSDNet MULTI-SCALE DENSE NETWORKS FOR RESOURCE EFFICIENT IMAGE CLASSIFICATION - CSDN博客 http://t.cn/RnI7j2o
Multi-scale Convolution Aggregation and Stochastic Feature Reuse forDenseNetsMingjie Wang 1 , Jun Zhou 2 , Wendong Mao 1 , Minglun Gong 1∗1 Memorial University of Newfoundland, NL, Canada2 Dalian University of Technology, Dalian, ChinaAbstractRecently, Convolution Neural Networks (CNNs) ob-...
Based on the inspiration of Densely Connected Convolutional Networks, MSDC-NET designed a similar dense connection technology, so that the model will not have the problem of gradient vanishing because of the deep network. The experimental data of MSDC-NET on MFPT, SEU, and Pu datasets show that...