While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...

Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.

Representing a molecule in a way that captures both its structure and function is central to tasks such as molecular property prediction, drug drug ...

This repository showcases a complete pipeline for high-quality Image Sharpening using Knowledge Distillation (KD). A pretrained Restormer model acts as the high-capacity teacher, while a lightweight ...

Accurate medical image segmentation is crucial in clinical applications. The existing Swin-UNet model overcomes the limitations of traditional Transformers in handling local details and high-frequency ...

Abstract: Accurate segmentation of single tree crowns enables precise measurement of tree height, DBH, and stock volume, facilitating effective assessment of forest growth and productivity. However, ...

This study develops a spatio-temporal forecasting model for predicting wind speeds across the Beijing-Tianjin-Hebei region over a 4-h horizon. The model, built using advanced deep learning techniques, ...

The Swedish retailer H&M said it was exploring the use of artificial intelligence in producing “digital twins” of models. By Christine Hauser In two photographs taken for the fashion retailer H&M, the ...

The repository contains a variety of model architectures (UNet, UNET ++, Attention-UNet, etc.), but there is a lack of evaluation indicators for the performance of these models, such as Accuracy, ...

Accurate building segmentation has become critical in various fields such as urban management, urban planning, mapping, and navigation. With the increasing diversity in the number, size, and shape of ...