NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...
AI doesn't just generate images; it mirrors our biases. New research shows how it can reinforce unrealistic body ideals, ...
The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, ...
Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...
Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
Abstract: Underwater image classification (UIC) within Internet of Things (IoT) systems faces significant challenges, such as color casting, turbidity, and blurring, which reduce image quality and ...
Semi-supervised learning (SSL) has emerged as a promising paradigm for medical image classification, addressing the critical challenge of limited labeled data in healthcare where expert annotation is ...
President Donald Trump posted 11 times on Truth Social late Friday night, publishing a rapid sequence of messages between 11:03 p.m. and 11:45 p.m. that included AI-generated images, political attacks ...
Deep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance. However, the current Transformer ...
FRAM [CVPR'26] is a diffusion-based facial makeup transfer model with regional controllability. It can perform global makeup transfer and region-specific makeup transfer. A data synthesis pipeline ...
Abstract: Data augmentation effectively addresses the imbalanced-small sample data (ISSD) problem in hyperspectral image classification (HSIC). Although most methodologies extend features in the ...
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