Therefore, based on an encoder-decoder architecture, we propose a novel alternate encoder dual decoder CNN-Transformer network, AD2Former, with two attractive designs: 1) We propose alternating learning encoder can achieve real-time interaction between local and global information, allowing both to ...
Encoder-Decoder architecturePancreatic cancer poses significant challenges in early diagnosis, with a high mortality rate of 98%, and is responsible for 4.7% of cancer deaths. Early diagnosis, mainly done by imaging exams, is the main factor that determines prognosis. While it is common to ...
The encoder and decoder mapping functions are \(Z = f_{\theta }(X) = s(WX + b)\) and \(X' = g_{\theta }(Z) = s(W'Z + b')\), where "s" is a non-linear activation function like sigmoid or ReLU. \(W\) and \(W'\) are weight matrices, and \(b\) and \(b'\...
This helps in error concealment where in the client decoders can predict from the long-term reference frame in case an intermediate frame loses data. The feature is useful in video streaming applications to recover from frame losses at the receiver. ...
The objective of this study was to automate the discrimination and quantification of human abdominal body fat compartments into subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) from T1-weighted MRI using encoder-decoder convolutional neural networks (CNN) and to apply the algorithm...
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation[翻译],程序员大本营,技术文章内容聚合第一站。
The complete network architecture is depicted in Figure 1, and the details of each block are provided in Table 1, with a total of 99M parameters. Figure 1. The proposed 3D Encode-Decoder architecture, based on the U-Net architecture. The skip connections perform a replication of the encoder...
Codec is short for “coder-decoder,” and it encodes a video for storage and decodes for broadcast. Often, the term “encoder” is used to describe hardware or software codec. Transcoding and encoding are often misused interchangeably. Rather than converting the format of a video,video transcod...
A comprehensive analysis was performed to improve the accuracy of the method in SLS. The semantic segmentation method consists of an encoder-decoder architecture, data augmentation, learning schemes, and post-processing methods. To enhance the SLS, we modified the decoder with the bidirectional ...
As a result, the compressed representations are obtained and can be stored in multi-bit memristor arrays. When the image needs to be retrieved, the stored data is read from the storage arrays and decompressed by the decoder, which utilizes multi-step transpose convolution operations to restore ...