BEIJING -- A team of Chinese scientists has unveiled a high-resolution atlas detailing the global distribution of lunar surface chemistry, a significant advance that fills a critical data gap in the ...

Abstract: In recent years, deep neural networks, including convolutional neural networks (CNNs), Transformers, and State-Space Models, have achieved significant progress in remote sensing image (RSI) ...

As document capture increasingly shifts beyond traditional office environments, preserving both visual fidelity and document authenticity has become a mounting challenge. Variable lighting, glare, ...

Abstract: Deep Neural Networks (DNNs) have demonstrated strong feature extraction capabilities and achieved high accuracy in semantic segmentation tasks. However, they exhibit limitations in handling ...