SeqTrack only adopts a simple encoder-decoder transformer architecture. The encoder extracts visual features with a bidirectional transformer, while the decoder generates a sequence of bounding box ...

This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text ...

Abstract: In this paper, we propose a deep learning based vehicle trajectory prediction technique which can generate the future trajectory sequence of surrounding vehicles in real time. We employ the ...

Two of the main families of neural network architecture are encoder-decoder architecture and the Generative Adversarial Network (GAN). Encoder and Decoder Architecture In 2015, Sequence to Sequence ...

Transformer Architecture: Implemented various Transformer components, including multi-head attention, feed-forward layers, layer normalization, encoder, and decoder blocks, following the Attention is ...

When it comes to sequence-to-sequence problems, there are 2 ways to combine the transformer-based encoder-decoder architecture with Transfer learning paradigm: Initialize an encoder-decoder model, pre ...