If you still want to add a decoder model, you could extend the architecture with a BART or T5 model, both of which are encoder-decoder models. Here’s how you would modify it for a sequence generation ...

This is then passed to the Decoder (called transformer in Module List) and Target (tokens with bos), which returns the Predictions. These Predictions are used to calculate Seq2Seq log-probabilities.

In this article, we are going to see how we can remove noise from the image data using an encoder-decoder model. We will go through two approaches of denoising with encoder-decoder, one with dense ...

Following a basic encoder-decoder network design, the features are extracted by initializing the encoder with a high-performance pre-trained network and reconstructing high-quality facial depth maps ...

The medical application of Computed Tomography (CT) is to provide detailed anatomical structures of patients without the need for invasive procedures like surgery, which is very useful for clinicians ...