Here we develop a customized encoder-decoder U-Net based semantic segmentation model to detect and geolocate this class of defective modules from orthorectified thermal infrared UAV imagery. Aerial ...

Our proposed method for nuclei instance segmentation is a dual decoder U-Net-based model. The generic architecture of the developed model is shown in Figure 3. The encoder part of the model has a ...

In the encoder, decoder, and bottleneck part of the U-Net model, Swin transformer blocks are used to gradually reduce the spatial dimension while increasing the complexity of the received data.

This repository contains the implementation of a machine translation model using Encoder-Decoder architecture with Long Short-Term Memory (LSTM) cells. The model is designed to translate text from one ...

SIPNet, the U-Net model, used another form of neural network architecture known as "encoder-decoder" that processes an input sequence (encoder) to later be reconstructed back to the original form ...