Abstract: In unsupervised medical image registration, encoder-decoder architectures are widely used to predict dense, full-resolution displacement fields from paired images. Despite their popularity, ...

Abstract: This paper introduces a groundbreaking enhancement to image captioning through a unique approach that harnesses the combined power of the Vision Encoder-Decoder model. By leveraging the Swin ...

Encoder-decoder framework with attention mechanism has become a mainstream solution to handwritten mathematical expression recognition (HMER) since “watch, attend and parse (WAP)” approach was ...

In the world of natural language processing, foundation models have typically come in 3 different flavors: Encoder-only (e.g. BERT), Encoder-Decoder (e.g. T5) and Decoder-only (e.g. GPT-*, LLaMA, PaLM ...