Artificial Intelligence Medical Compendium

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

Showing 32,771 to 32,780 of 221,227 articles

Dynamic Class-Aware Active Learning for Unbiased Satellite Image Segmentation

arXiv Apr 10, 2026
Semantic segmentation of satellite imagery plays a vital role in land cover mapping and environmental monitoring. However, annotating large-scale, high-resolution satellite datasets is costly and time consuming, especially when covering vast geograph... read more 
Computer Vision and Pattern Recognition

Robust by Design: A Continuous Monitoring and Data Integration Framework for Medical AI

arXiv Apr 10, 2026
Adaptive medical AI models often face performance drops in dynamic clinical environments due to data drift. We propose an autonomous continuous monitoring and data integration framework that maintains robust performance over time. Focusing on glomeru... read more 
Computer Vision and Pattern Recognition

Identification and Anonymization of Named Entities in Unstructured Information Sources for Use in Social Engineering Detection

arXiv Apr 10, 2026
This study addresses the challenge of creating datasets for cybercrime analysis while complying with the requirements of regulations such as the General Data Protection Regulation (GDPR) and Organic Law 10/1995 of the Penal Code. To this end, a syste... read more 
Machine Learning cs.AI

Domain-generalizable Face Anti-Spoofing with Patch-based Multi-tasking and Artifact Pattern Conversion

arXiv Apr 10, 2026
Face Anti-Spoofing (FAS) algorithms, designed to secure face recognition systems against spoofing, struggle with limited dataset diversity, impairing their ability to handle unseen visual domains and spoofing methods. We introduce the Pattern Convers... read more 
Computer Vision and Pattern Recognition

BlendFusion -- Scalable Synthetic Data Generation for Diffusion Model Training

arXiv Apr 10, 2026
With the rapid adoption of diffusion models, synthetic data generation has emerged as a promising approach for addressing the growing demand for large-scale image datasets. However, images generated purely by diffusion models often exhibit visual inc... read more 
Computer Vision and Pattern Recognition

CAD 100K: A Comprehensive Multi-Task Dataset for Car Related Visual Anomaly Detection

arXiv Apr 10, 2026
Multi-task visual anomaly detection is critical for car-related manufacturing quality assessment. However, existing methods remain task-specific, hindered by the absence of a unified benchmark for multi-task evaluation. To fill in this gap, We presen... read more 
Computer Vision and Pattern Recognition

Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection

arXiv Apr 10, 2026
Multi-modal large language models (MLLMs) have emerged as powerful tools for analyzing Internet-scale image data, offering significant benefits but also raising critical safety and societal concerns. In particular, open-weight MLLMs may be misused to... read more 
Computer Vision and Pattern Recognition cs.AI cs.CR cs.LG

Skill-Conditioned Visual Geolocation for Vision-Language

arXiv Apr 10, 2026
Vision-language models (VLMs) have shown a promising ability in image geolocation, but they still lack structured geographic reasoning and the capacity for autonomous self-evolution. Existing methods predominantly rely on implicit parametric memory, ... read more 
Computer Vision and Pattern Recognition cs.AI

NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Multi-Exposure Image Fusion in Dynamic Scenes (Track 2)

arXiv Apr 10, 2026
This paper presents NTIRE 2026, the 3rd Restore Any Image Model (RAIM) challenge on multi-exposure image fusion in dynamic scenes. We introduce a benchmark that targets a practical yet difficult HDR imaging setting, where exposure bracketing must be ... read more 
Computer Vision and Pattern Recognition

SiMing-Bench: Evaluating Procedural Correctness from Continuous Interactions in Clinical Skill Videos

arXiv Apr 10, 2026
Current video benchmarks for multimodal large language models (MLLMs) focus on event recognition, temporal ordering, and long-context recall, but overlook a harder capability required for expert procedural judgment: tracking how ongoing interactions ... read more 
Computer Vision and Pattern Recognition cs.CL cs.HC
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