Artificial Intelligence Medical Compendium

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

Showing 27,051 to 27,060 of 218,547 articles

Region Matters: Efficient and Reliable Region-Aware Visual Place Recognition

arXiv Apr 24, 2026
Visual Place Recognition (VPR) determines a query image's geographic location by matching it against geotagged databases. However, existing methods struggle with perceptual aliasing caused by irrelevant regions and inefficient re-ranking due to rigid... read more 
Computer Vision and Pattern Recognition

SpaMEM: Benchmarking Dynamic Spatial Reasoning via Perception-Memory Integration in Embodied Environments

arXiv Apr 24, 2026
Multimodal large language models (MLLMs) have advanced static visual--spatial reasoning, yet they often fail to preserve long-horizon spatial coherence in embodied settings where beliefs must be continuously revised from egocentric observations under... read more 
Computer Vision and Pattern Recognition

Distance-Misaligned Training in Graph Transformers and Adaptive Graph-Aware Control

arXiv Apr 24, 2026
Graph Transformers can mix information globally, but this flexibility also creates failure modes: some tasks require long-range communication while others are better served by local interaction. We study this through a synthetic node-classification b... read more 
Machine Learning cs.AI

All Eyes on the Workflow: Automated and Efficient Event Discovery from Video Streams

arXiv Apr 24, 2026
Disciplines such as business process management and process mining aid organizations by discovering insights about processes on the basis of recorded event data. However, an obstacle to process analysis is data multi-modality: for instance, data in v... read more 
Computer Vision and Pattern Recognition cs.LG

Contrastive Semantic Projection: Faithful Neuron Labeling with Contrastive Examples

arXiv Apr 24, 2026
Neuron labeling assigns textual descriptions to internal units of deep networks. Existing approaches typically rely on highly activating examples, often yielding broad or misleading labels by focusing on dominant but incidental visual factors. Prior ... read more 
Computer Vision and Pattern Recognition cs.LG

CGC: Compositional Grounded Contrast for Fine-Grained Multi-Image Understanding

arXiv Apr 24, 2026
Although Multimodal Large Language Models (MLLMs) have advanced rapidly, they still face notable challenges in fine-grained multi-image understanding, often exhibiting spatial hallucination, attention leakage, and failures in object constancy. In add... read more 
Computer Vision and Pattern Recognition cs.AI

ICPR 2026 Competition on Low-Resolution License Plate Recognition

arXiv Apr 24, 2026
Low-Resolution License Plate Recognition (LRLPR) remains a challenging problem in real-world surveillance scenarios, where long capture distances, compression artifacts, and adverse imaging conditions can severely degrade license plate legibility. To... read more 
Computer Vision and Pattern Recognition

Different Strokes for Different Folks: Writer Identification for Historical Arabic Manuscripts

arXiv Apr 24, 2026
Handwritten Arabic manuscripts preserve the Arab world's intellectual and cultural heritage, and writer identification supports provenance, authenticity verification, and historical analysis. Using the Muharaf dataset of historical Arabic manuscripts... read more 
Computer Vision and Pattern Recognition cs.LG

Information-Theoretic Geometry Optimization and Physics-Aware Learning for Calibration-Free Magnetic Localization

arXiv Apr 24, 2026
Wireless localization of permanent magnets enables occlusion-free guidance for medical interventions, yet its practical accuracy is fundamentally limited by two coupled challenges: the poor observability of conventional planar sensor arrays and the s... read more 
Robotics

Distilling Vision Transformers for Distortion-Robust Representation Learning

arXiv Apr 24, 2026
Self-supervised learning has achieved remarkable success in learning visual representations from clean data, yet remains challenging when clean observations are sparse or not available at all. In this paper, we demonstrate that pretrained vision mode... read more 
Computer Vision and Pattern Recognition
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