Modern change detection (CD) has achieved remarkable success by the powerful discriminative ability of deep convolutions. However, high-resolution remote sensing CD remains challenging due to the ...

In this study, an Infrared Small-Target Detection Transformer (IST-DETR) is introduced, a novel model specifically designed to tackle the challenges of low-resolution infrared images and small target ...

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

Nvidia’s latest update to its AI-powered upscaling technology, DLSS 4, has officially moved out of beta with the release of a new Transformer-based model. DLSS (Deep Learning Super Sampling) has ...

Our guide to the best cloud storage for photos ranks free and paid platforms on factors including security, price, and more.

This repo is used for recording, tracking, and benchmarking several recent transformer-based visual segmentation methods, as a supplement to our survey. If you find any work missing or have any ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

Decoder-only transformer from scratch This project shows how a small decoder-only transformer can be built from scratch using PyTorch and PyTorch Lightning. It learns to answer a simple question: ...