Abstract: Deep learning models often emphasize structural information over long-range dependencies when producing cleaner images. To enhance the robustness of the resulting denoisers, this work ...
Abstract: Non-Line-of-Sight (NLOS) reception is acknowledged as a primary source of positioning error in Global Navigation Satellite System (GNSS) applications ...
Abstract: Aerial image classification plays a vital role in applications such as building footprint extraction, water/soil analysis, 3D reconstruction. Accurate classification enables timely ...
Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
Abstract: Chronic total occlusion (CTO) is a critical determinant of treatment efficacy in coronary artery disease, but its accurate diagnosis remains heavily reliant on the expertise of experienced ...
Abstract: Improving the resolution of medical images is an important task in ensuring trustworthy diagnosis and effective monitoring of diseases. Of the newest deep learning algorithms, Convolutional ...
Abstract: Deep neural networks (DNNs) have achieved significant advancements in hyperspectral image (HSI) classification, enabling critical applications in environmental monitoring, medical imaging, ...
Abstract: In the present era, Cancer-related deaths are predominantly driven by lung cancer globally, causing significant deaths across all demographics. Precise prediction and evaluation of treatment ...
Abstract: Urban sound classification plays a crucial role in smart city applications, enabling noise monitoring, emergency detection, and environmental analysis. This paper proposes a lightweight ...
Australian photographer Matty Smith has been named Underwater Photographer of the Year (UPY) 2026 for his image of a pair of southern elephant seal pups in a rockpool on the Falkland Islands. Named ...
For nearly a month, the Justice Department failed to take down more than a dozen images in the Epstein files that should have been redacted, including pictures of a young girl kissing Jeffrey Epstein ...
Abstract: The CT Kidney Dataset is a structured and medically significant collection of Computed Tomography (CT) scan images, curated for the i m p ro v em en t and growth of AI-predicted diagnostic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results