GitHub

SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...
IEEE

Uncertainty-Aware Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction

Abstract: In this paper, we propose a deep learning framework for sequence-to-sequence vessel trajectory prediction based on encoder-decoder recurrent neural networks to learn the predictive ...
IEEE

Recurrent Encoder–Decoder Networks for Vessel Trajectory Prediction With Uncertainty ...

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 ...
GitHub

E2D2: Encoder-Decoder Diffusion Language Models for Efficient Training and Inference

This repository contains code and scripts for reproducing experimental results from our work. We will try to use GitHub issues to track bugs, features, and todos. To contribute to the repo, please ...