A team of researchers from the National University of Singapore and collaborators at Oxford University, the University of ...

This article presents a novel deep convolutional encoder–decoder framework called NL-CoWNet for speckle elimination in OCT images. This despeckling architecture consists of an encoder network having ...

They are composed of convolutional, pooling, and fully connected layers ... text summarization, and sentiment analysis. Encoder-decoder architectures are a broad category of models used primarily for ...

The transformer architecture has emerged as the predominant framework for deep learning, playing a pivotal role in the remarkable achievements of large language models like ChatGPT. Despite its ...

We will go through two approaches of denoising with encoder-decoder, one with dense layers and one with convolutional layers. The major points to be covered in this article are listed below. In image ...

The proposed building block namely a dense attention module (DAM) controls the flow of information between the convolutional encoder and decoder. DAM enables hierarchical adaptive feature fusion by ...

Abstract: In this paper, we propose a novel convolutional encoder-decoder network with skip connections, named CEDNS, to improve the performance of saliency prediction. The encoder network utilizes ...