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 ...

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.

This study proposes a novel approach to the Vehicle Routing Problem with Task Priority and Limited Resources (VRPTPLR) by leveraging a Graph Neural Network (GNN) encoder. Unlike conventional methods ...