Abstract: Few-Shot Semantic Segmentation (FSS), which focuses on segmenting new classes in images using only a limited number of annotated examples, has recently progressed in data-scarce domains.
TCT 22: Comparative Outcomes and Predictors in Transcatheter Aortic Valve Implantation: A SEV vs BEV Analysis, data from the GREEK TAVI REGISTRY Receive the the latest news, research, and ...
Andrew Ng’s startup LandingAI wants to make agentic AI the backbone of enterprise document processing with ADE DPT-2. (Photo by Mark RALSTON / AFP) (Photo credit should read MARK RALSTON/AFP via Getty ...
ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...
Forbes contributors publish independent expert analyses and insights. Anjana Susarla is a professor of Responsible AI at the Eli Broad College of Business at Michigan State University. Amidst all the ...
Contrastive Language-Image Pre-training (CLIP) has become important for modern vision and multimodal models, enabling applications such as zero-shot image classification and serving as vision encoders ...
Myoelectric control systems translate electromyographic signals (EMG) from muscles into movement intentions, allowing control over various interfaces, such as prosthetics, wearable devices, and ...
Recent advances in speech enhancement (SE) have moved beyond traditional mask or signal prediction methods, turning instead to pre-trained audio models for richer, more transferable features. These ...
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