Artificial Intelligence Medical Compendium

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

Showing 24,531 to 24,540 of 217,425 articles

CO-EVO: Co-evolving Semantic Anchoring and Style Diversification for Federated DG-ReID

arXiv Apr 29, 2026
Federated domain generalization for person re-identification (FedDG-ReID) aims to collaboratively train a pedestrian retrieval model across multiple decentralized source domains such that it can generalize to unseen target environments without compro... read more 
Computer Vision and Pattern Recognition cs.LG

Beyond Fixed Formulas: Data-Driven Linear Predictor for Efficient Diffusion Models

arXiv Apr 29, 2026
To address the high sampling cost of Diffusion Transformers (DiTs), feature caching offers a training-free acceleration method. However, existing methods rely on hand-crafted forecasting formulas that fail under aggressive skipping. We propose L2P (L... read more 
Computer Vision and Pattern Recognition cs.LG

Probabilistic data quality assessment for structural monitoring data via outlier-resistant conditional diffusion model

arXiv Apr 29, 2026
Data quality assessment is an essential step that ensures the reliability of the subsequent structural health monitoring (SHM) tasks. This study proposes a prediction deviation-based SHM data quality assessment method using a univariate implicit auto... read more 
Machine Learning cs.LG

Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning

arXiv Apr 29, 2026
Vision-language models have shown strong performance, but they often generalize poorly to specialized domains. While semi-supervised vision-language learning mitigates this limitation by leveraging a small set of labeled image-text pairs together wit... read more 
Computer Vision and Pattern Recognition cs.LG math.AT

Decoupled Prototype Matching with Vision Foundation Models for Few-Shot Industrial Object Detection

arXiv Apr 29, 2026
Industrial object detection systems typically rely on large annotated datasets, which are expensive to collect and challenging to maintain in industrial scenarios where the inventory of objects changes frequently. This work addresses the challenge of... read more 
Computer Vision and Pattern Recognition

Delineating Knowledge Boundaries for Honest Large Vision-Language Models

arXiv Apr 29, 2026
Large Vision-Language Models (VLMs) have achieved remarkable multimodal performance yet remain prone to factual hallucinations, particularly in long-tail or specialized domains. Moreover, current models exhibit a weak capacity to refuse queries that ... read more 
Computer Vision and Pattern Recognition cs.AI

Are Data Augmentation and Segmentation Always Necessary? Insights from COVID-19 X-Rays and a Methodology Thereof

arXiv Apr 29, 2026
Purpose: Rapid and reliable diagnostic tools are crucial for managing respiratory diseases like COVID-19, where chest X-ray analysis coupled with artificial intelligence techniques has proven invaluable. However, most existing works on X-ray images h... read more 
Computer Vision and Pattern Recognition

$\text{PKS}^4$:Parallel Kinematic Selective State Space Scanners for Efficient Video Understanding

arXiv Apr 29, 2026
Temporal modeling remains a fundamental challenge in video understanding, particularly as sequence lengths scale. Traditional video models relying on dense spatiotemporal attention suffer from quadratic computational costs for long videos. To circumv... read more 
Computer Vision and Pattern Recognition

A Multistage Extraction Pipeline for Long Scanned Financial Documents: An Empirical Study in Industrial KYC Workflows

arXiv Apr 29, 2026
Structured information extraction from long, multilingual scanned financial documents is a core requirement in industrial KYC and compliance workflows. These documents are typically non machine readable, noisy, and visually heterogeneous. They usuall... read more 
Computer Vision and Pattern Recognition

Cross-Domain Transfer of Hyperspectral Foundation Models

arXiv Apr 29, 2026
Hyperspectral imaging (HSI) semantic segmentation typically relies on in-domain training, but limited data availability often restricts model performance in real-world applications. Current approaches to leverage foundation models in proximal sensing... read more 
Computer Vision and Pattern Recognition
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