Convolutional encoder-decoder network (CED)High Efficiency Video Coding (HEVC)Intra prediction is an effective method for video coding to remove the spatial redundancy of content. Classical intra prediction met
标题放不下了,论文全称:Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections 其实就是conv和deconv,外加对称的skip connection。作者表示每两层就会有一个skip connection。 作者的意思是说,conv的作用就是进行feature extraction,保留图中对象的主要组件,同时消除corru...
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...
The multifidelity network is able to correctly leverage the Conclusions and future work In this work, we focus on convolutional neural networks, specifically architectures resulting from an assembly of encoders, decoders and skip connections. Such architectures have the flexibility to predict the result...
anboonyuen, T.; Vateekul, P.; Jitkajornwanich, K.; awawirojwong, S. An Enhanced Deep Convolutional Encoder-Decoder Network for Road Segmentation on Aerial Imagery. Recent Advances in Information and Communication Technology Series 2017, 566....
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 ...
This is essentially a Convolutional Encoder Decoder network based on the SegNet architecture for unsupervised feature learning. The particular network can be used for unsupervised feature learning on particular datasets, as well as then fine-tune (further train) the pre-trained network for semantic seg...
we introduce a novel framework of blind image watermarking that is able to learn attacking patterns effectively based on a deep convolutional encoder-decoder network. For details, a binary watermark image is hidden into selective wavelet blocks by the mean of an optimal encoding rule, wherein the...
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Segnet是用于进行像素级别图像分割的全卷积网络,分割的核心组件是一个encoder 网络,及其相对应的decoder网络,后接一个象素级别的分类网络。encoder网络:其结构与VGG16网络的前13层卷积层的结构相似。decoder网络:作用是将由encoder的到的低分辨率的feature maps 进行映射得到与输入图像featuremap相同的分辨率进而进行像素级别...