Abstract: Semantic segmentation of remote sensing images is extensively used ... powerful global modelling capability of Swin Transformer, we propose the LSENet network, which follows the ...

This project presents a streamlined pipeline for generating captions for images using advanced machine learning techniques. The core of this pipeline leverages a Vision Transformer (ViT) encoder ...

Adeel evaluated his adapted transformer architecture in a series of learning, computer vision and language processing tasks. The results of these tests were highly promising, highlighting the promise ...

Abstract: In recent years, the semantic segmentation of multimodal remote-sensing images using ... an asymmetric dual encoder network with clustering mutual contrast loss. Specifically, we use a ...

DDSP is a library of differentiable versions of common DSP functions (such as synthesizers, waveshapers, and filters). This allows these interpretable elements to be used as part of an deep learning ...