What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...

I wanted to use an encoder decoder model with SwinTransformer as an encoder and bart-large as a decoder. I used VisionEncoderDecoderModel.from_encoder_decoder ...

In machine learning, we have seen various kinds of neural networks and encoder-decoder models are also a type of neural network in which recurrent neural networks are used to make the prediction on ...

This repository contains the code implementation of the main model from our paper Optimized Deep Encoder-Decoder Methods for Crack Segmentation which uses an EfficientNet B5 backbone. König, J., ...

Abstract: The main purpose of multimodal machine translation (MMT) is to improve the quality of translation results by taking the corresponding visual context as an additional input. Recently many ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...