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 ...

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 ...

Abstract: Encoder-decoder networks have become the standard solution for a variety of segmentation tasks. Many of these approaches use a symmetrical design where both the encoder as well as the ...

Abstract: Turbo code is an error correction coding scheme close to the Shannon limit, usually used in wireless data transmission. Based on the parallel Turbo code ...

JavaScriptによる各種映像符号のエンコード／デコードサンプルです． Demo: https://kazuki.github.io/video-codec.js/index.html 以下の ...