Artificial Intelligence Medical Compendium

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

Showing 24,841 to 24,850 of 217,472 articles

$\text{PKS}^4$: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

Recipes for Calibration Checks in Safety-Critical Applications

arXiv Apr 29, 2026
Safety-critical prediction systems, such as autonomous vehicles, weather forecasters, and medical monitors, commonly rely on probabilistic forecasters. These forecasters make predictions about possible future outcomes, and their quality and robustnes... read more 
Methodology cs.LG

Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners

arXiv Apr 29, 2026
One of the most exciting applications of vision models involve pixel-level reasoning. Despite the abundance of vision foundation models, we still lack representations that effectively embed spatio-temporal properties of visual scenes at the pixel lev... read more 
Computer Vision and Pattern Recognition cs.LG

Adaptive Transform Coding for Semantic Compression

arXiv Apr 29, 2026
Visual data compression is shifting from human-centered reconstruction to machine-oriented representation coding. In this setting, an image is often mapped to a compact semantic embedding, which is then compressed and transmitted for downstream infer... read more 
Image and Video Processing cs.CV cs.IT eess.SP

Delta Score Matters! Spatial Adaptive Multi Guidance in Diffusion Models

arXiv Apr 29, 2026
Diffusion models have achieved remarkable success in synthesizing complex static and temporal visuals, a breakthrough largely driven by Classifier-Free Guidance (CFG). However, despite its pivotal role in aligning generated content with textual promp... read more 
Computer Vision and Pattern Recognition

MTCurv: Deep learning for direct microtubule curvature mapping in noisy fluorescence microscopy images

arXiv Apr 29, 2026
Accurate quantification of the geometry of curvilinear biological structures is essential for understanding cellular mechanics and disease-related morphological alterations. Microtubule curvature is a key descriptor of filament rigidity and mechanica... read more 
Computer Vision and Pattern Recognition q-bio.CB

GIFGuard: Proactive Forensics against Deepfakes in Facial GIFs via Spatiotemporal Watermarking

arXiv Apr 29, 2026
The rapid evolution of deepfake technology poses an unprecedented threat to the authenticity of Graphics Interchange Format (GIF) imagery, which serves as a representative of short-loop temporal media in social networks. However, existing proactive f... read more 
Computer Vision and Pattern Recognition

3D-LENS: A 3D Lifting-based Elevated Novel-view Synthesis method for Single-View Aerial-Ground Re-Identification

arXiv Apr 29, 2026
Aerial-Ground Re-Identification (AG-ReID) is constrained by the viewpoint-domain gap, as drastic viewpoint disparities occlude or distort discriminative features, making cross-viewpoint image retrieval challenging. While existing methods rely on pair... read more 
Computer Vision and Pattern Recognition
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