Deep learning final year projects offer students the opportunity to explore the latest advancements in artificial intelligence and apply them to real-world problems. One project idea is developing a ...

Abstract: Recently, the transformer-based model has shown superior performance in hyperspectral image classification (HSIC) due to its excellent ability to model long-term dependencies on sequence ...

Abstract: Polarimetric synthetic aperture radar (PolSAR) images hold significant importance in applications such as crop classification. To achieve better classification performance, deep learning ...

py-app-standalone builds a standalone, relocatable Python installation with a set of packages included. It's like a modern alternative to PyInstaller that leverages the newer uv ecosystem. It's a ...

We introduce IGOR, a framework that learns latent actions from Internet-scale videos that enable cross-embodiment and cross-task generalization. IGOR learns a unified latent action space for humans ...