an encoder-decoder network that uses the pre-trained \textit{MiT-B2 ... and MSD Spleen datasets The block diagram shows an overview of the proposed MDNet. A MiT-B2 encoder processes the input image to ...

In particular, we consider an underparametrized graph-aware NN encoder that maps the input graph signal to a latent space, followed by an underparametrized graph-aware NN decoder which maps the latent ...

Vectorizes text using one-hot encoding, mapping words to numerical representations. Recurrent Neural Network (RNN) Model: Creates an encoder-decoder architecture using GRU layers. The encoder ...

Abstract: Encoder-decoder models have been widely used in image captioning, and most of them are designed via single long short term memory (LSTM). The capacity of single-layer network, whose encoder ...