Abstract: Recent deep learning methods for vessel trajectory prediction are able to learn complex maritime patterns from historical automatic identification system (AIS) data and accurately predict ...

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 ...

Abstract: Change detection is a critical task in earth observation applications. Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection.

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 ...

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 ...