Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 28,951 to 28,960 of 219,647 articles

From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization

arXiv Apr 21, 2026
Post-Training Quantization (PTQ) is critical for the efficient deployment of Large Language Models (LLMs). While 4-bit quantization is widely regarded as an optimal trade-off, reducing the precision to 2-bit usually triggers a catastrophic ``performa... read more 
Computation and Language cs.AI cs.LG

SGAP-Gaze: Scene Grid Attention Based Point-of-Gaze Estimation Network for Driver Gaze

arXiv Apr 21, 2026
Driver gaze estimation is essential for understanding the driver's situational awareness of surrounding traffic. Existing gaze estimation models use driver facial information to predict the Point-of-Gaze (PoG) or the 3D gaze direction vector. We prop... read more 
Computer Vision and Pattern Recognition

A Data-Free Membership Inference Attack on Federated Learning in Hardware Assurance

arXiv Apr 21, 2026
Federated Learning (FL) is an emerging solution to the data scarcity problem for training deep learning models in hardware assurance. While FL is designed to enhance privacy by not sharing raw data, it remains vulnerable to Membership Inference Attac... read more 
Cryptography and Security

MMCORE: MultiModal COnnection with Representation Aligned Latent Embeddings

arXiv Apr 21, 2026
We present MMCORE, a unified framework designed for multimodal image generation and editing. MMCORE leverages a pre-trained Vision-Language Model (VLM) to predict semantic visual embeddings via learnable query tokens, which subsequently serve as cond... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Infection-Reasoner: A Compact Vision-Language Model for Wound Infection Classification with Evidence-Grounded Clinical Reasoning

arXiv Apr 21, 2026
Assessing chronic wound infection from photographs is challenging because visual appearance varies across wound etiologies, anatomical locations, and imaging conditions. Prior image-based deep learning methods have mainly focused on classification wi... read more 
Computer Vision and Pattern Recognition cs.AI

Camera Control for Text-to-Image Generation via Learning Viewpoint Tokens

arXiv Apr 21, 2026
Current text-to-image models struggle to provide precise camera control using natural language alone. In this work, we present a framework for precise camera control with global scene understanding in text-to-image generation by learning parametric c... read more 
Computer Vision and Pattern Recognition

DistortBench: Benchmarking Vision Language Models on Image Distortion Identification

arXiv Apr 21, 2026
Vision-language models (VLMs) are increasingly used in settings where sensitivity to low-level image degradations matters, including content moderation, image restoration, and quality monitoring. Yet their ability to recognize distortion type and sev... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.RO

Lucky High Dynamic Range Smartphone Imaging

arXiv Apr 21, 2026
While the human eye can perceive an impressive twenty stops of dynamic range, smartphone camera sensors remain limited to about twelve stops despite decades of research. A variety of high dynamic range (HDR) image capture and processing techniques ha... read more 
Computer Vision and Pattern Recognition

Online CS-based SAR Edge-Mapping

arXiv Apr 21, 2026
With modern defense applications increasingly relying on inexpensive, small Unmanned Aerial Vehicles (UAVs), a major challenge lies in designing intelligent and computationally efficient onboard Automatic Target Recognition (ATR) algorithms to carry ... read more 
Computer Vision and Pattern Recognition

scpFormer: A Foundation Model for Unified Representation and Integration of the Single-Cell Proteomics

arXiv Apr 21, 2026
The integration of single-cell proteomic data is often hindered by the fragmented nature of targeted antibody panels. To address this limitation, we introduce scpFormer, a transformer-based foundation model designed for single-cell proteomics. Pre-tr... read more 
Quantitative Methods cs.AI cs.LG
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