Artificial Intelligence Medical Compendium

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

Showing 28,601 to 28,610 of 219,260 articles

ReTrack: Evidence-Driven Dual-Stream Directional Anchor Calibration Network for Composed Video Retrieval

arXiv Apr 20, 2026
With the rapid growth of video data, Composed Video Retrieval (CVR) has emerged as a novel paradigm in video retrieval and is receiving increasing attention from researchers. Unlike unimodal video retrieval methods, the CVR task takes a multi-modal q... read more 
Computer Vision and Pattern Recognition

OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action Models

arXiv Apr 20, 2026
Vision-Language Models(VLMs) excel at autoregressive text generation, yet end-to-end autonomous driving requires multi-task learning with structured outputs and heterogeneous decoding behaviors, such as autoregressive language generation, parallel ob... read more 
Computer Vision and Pattern Recognition

Prompting Foundation Models for Zero-Shot Ship Instance Segmentation in SAR Imagery

arXiv Apr 20, 2026
Synthetic Aperture Radar (SAR) plays a critical role in maritime surveillance, yet deep learning for SAR analysis is limited by the lack of pixel-level annotations. This paper explores how general-purpose vision foundation models can enable zero-shot... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Brain-Inspired Capture: Evidence-Driven Neuromimetic Perceptual Simulation for Visual Decoding

arXiv Apr 20, 2026
Visual decoding of neurophysiological signals is a critical challenge for brain-computer interfaces (BCIs) and computational neuroscience. However, current approaches are often constrained by the systematic and stochastic gaps between neural and visu... read more 
Computer Vision and Pattern Recognition cs.AI

ZSG-IAD: A Multimodal Framework for Zero-Shot Grounded Industrial Anomaly Detection

arXiv Apr 20, 2026
Deep learning-based industrial anomaly detectors often behave as black boxes, making it hard to justify decisions with physically meaningful defect evidence. We propose ZSG-IAD, a multimodal vision-language framework for zero-shot grounded industrial... read more 
Computer Vision and Pattern Recognition

Federated Rule Ensemble Method in Medical Data

arXiv Apr 20, 2026
Machine learning has become integral to medical research and is increasingly applied in clinical settings to support diagnosis and decision-making; however, its effectiveness depends on access to large, diverse datasets, which are limited within sing... read more 
Machine Learning stat.ME

Chatting about Upper-Body Expressive Human Pose and Shape Estimation

arXiv Apr 20, 2026
Expressive Human Pose and Shape Estimation (EHPS) plays a crucial role in various AR/VR applications and has witnessed significant progress in recent years. However, current state-of-the-art methods still struggle with accurate parameter estimation f... read more 
Computer Vision and Pattern Recognition cs.GR

DifFoundMAD: Foundation Models meet Differential Morphing Attack Detection

arXiv Apr 20, 2026
In this work, we introduce DifFoundMAD, a parameter-efficient D-MAD framework that exploits the generalisation capabilities of vision foundation models (FM) to capture discrepancies between suspected morphs and live capture images. In contrast to con... read more 
Computer Vision and Pattern Recognition

MU-GeNeRF: Multi-view Uncertainty-guided Generalizable Neural Radiance Fields for Distractor-aware Scene

arXiv Apr 20, 2026
Generalizable Neural Radiance Fields (GeNeRFs) enable high-quality scene reconstruction from sparse views and can generalize to unseen scenes. However, in real-world settings, transient distractors break cross-view structural consistency, corrupting ... read more 
Computer Vision and Pattern Recognition

Identifying Ethical Biases in Action Recognition Models

arXiv Apr 20, 2026
Human Action Recognition (HAR) models are increasingly deployed in high-stakes environments, yet their fairness across different human appearances has not been analyzed. We introduce a framework for auditing bias in HAR models using synthetic video d... read more 
Computer Vision and Pattern Recognition
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