IEEE

GDSR: Global-Detail Integration Through Dual-Branch Network With Wavelet Losses for Remote Sensing Image Super-Resolution

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) ...
Scientific Research Publishing

Accuracy and Response Speed of Eye Center Annotation Using Eye Movement Models: Validating the Effectiveness of Eyesight Detection ()

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
IEEE

Rotation Equivariant Convolution-based Network for Semantic Segmentation of High Spatial Resolution Remote Sensing Imagery

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 ...