《SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation》 期刊:TPAMI 核心思想:存储编码器最大池化层中最大值的索引,上采样时,将特征图根据存储的索引对其恢复,再对其卷积。…
Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation 截至3.8,引用次数22 这篇文章把CT腹部扫描图分割当成一个分类问题处理,使用一个基于CNN的级连分类器框架。使用两个编码解码器卷积网络训练来进行级联分割肝和病灶(EDCNN)。即第一个EDCNN分割肝图片的结果(ROI区域)作...
decode网络中的decoder 利用对应encoder feature map中保存的max-index对输入的feature map进行上采样,产生的稀疏feature maps后接一系列可训练的卷积核,输出密集的feature maps,后接BN用于规范化处理正则化减弱过拟合,与输入对应的decoder产生多通道feature map,虽然输入只有(RGB)三通道。其他的encoder,decoder的通道数,...
This paper proposes an effective and novel convolutional encoder鈥揹ecoder architecture to effectuate clean speech from the input audio through denoising the audio input. The architecture uses skip connections to increase information flow from encoder to decoder, which helped the authors bolster the ...
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu, Nicholas Zabaras PyTorch Implementation of Bayesian surrogate modeling for PDEs with high-dimensional stochstic input, such as permeability field, Young's modulus, etc. KLE4225 (No dim re...
In this paper, we propose a convolutional neural network, which is based on down sampling followed by up sampling architecture for the purpose of road extraction from aerial images. Our model consists of convolutional layers only. The proposed encoder-decoder structure allows our network to retain ...
文件类型 日期 Results 1-2 of 2 DS248 - Convolution Encoder v7.0 Data Sheet (DS248) (v7.1) Feb 28, 2011 文件类型: Data Sheets The Convolution Encoder core can be used in a wide variety of error correcting applications and is typically used in conjunction with the Viterbi Decoder (DS247...
http://arxiv.org/abs/1511.00561 Vijay Badrinarayanan, Alex Kendall and Roberto Cipolla "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation." PAMI, 2017. License This extension to the Caffe library is released under a creative commons license which allows for personal and...
摘要原文 We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This core trainable segmentation engine consists of an encoder network, a corresponding decoder network followed by a pixel-wise classification layer. The archi...
每个decoder对应一个encoder。最后接一个softmax分类器。 重复使用max-pooling indices In decoding process 的好处: 1. 提高了边界刻画能力;2. 减少端到端的训练参数;3. 其他任何的encoder-decoder 结构都可以使用这种上采样形式(只需做小小的修改)。 这篇论文其中一个主要贡献是对SegNet和FCN的解码手法进行了分析...