Artificial Intelligence Medical Compendium

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

Showing 41,221 to 41,230 of 223,853 articles

Adaptive regularization parameter selection for high-dimensional inverse problems: A Bayesian approach with Tucker low-rank constraints

arXiv Mar 17, 2026
This paper introduces a novel variational Bayesian method that integrates Tucker decomposition for efficient high-dimensional inverse problem solving. The method reduces computational complexity by transforming variational inference from a high-dimen... read more 
Machine Learning

Attribution Upsampling should Redistribute, Not Interpolate

arXiv Mar 17, 2026
Attribution methods in explainable AI rely on upsampling techniques that were designed for natural images, not saliency maps. Standard bilinear and bicubic interpolation systematically corrupts attribution signals through aliasing, ringing, and bound... read more 
Computer Vision and Pattern Recognition cs.LG

Interact3D: Compositional 3D Generation of Interactive Objects

arXiv Mar 17, 2026
Recent breakthroughs in 3D generation have enabled the synthesis of high-fidelity individual assets. However, generating 3D compositional objects from single images--particularly under occlusions--remains challenging. Existing methods often degrade g... read more 
Computer Vision and Pattern Recognition cs.AI

Parallel In-context Learning for Large Vision Language Models

arXiv Mar 17, 2026
Large vision-language models (LVLMs) employ multi-modal in-context learning (MM-ICL) to adapt to new tasks by leveraging demonstration examples. While increasing the number of demonstrations boosts performance, they incur significant inference latenc... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

LICA: Layered Image Composition Annotations for Graphic Design Research

arXiv Mar 17, 2026
We introduce LICA (Layered Image Composition Annotations), a large-scale dataset of 1,550,244 multi-layer graphic design compositions designed to advance structured understanding and generation of graphic layouts1. In addition to ren- dered PNG image... read more 
Computer Vision and Pattern Recognition cs.AI

OneWorld: Taming Scene Generation with 3D Unified Representation Autoencoder

arXiv Mar 17, 2026
Existing diffusion-based 3D scene generation methods primarily operate in 2D image/video latent spaces, which makes maintaining cross-view appearance and geometric consistency inherently challenging. To bridge this gap, we present OneWorld, a framewo... read more 
Computer Vision and Pattern Recognition

Reevaluating the Intra-Modal Misalignment Hypothesis in CLIP

arXiv Mar 17, 2026
Recent research suggested that the embeddings produced by CLIP-like contrastive language-image training are suboptimal for image-only tasks. The main theory is that the inter-modal (language-image) alignment loss ignores intra-modal (image-image) ali... read more 
Computer Vision and Pattern Recognition

NanoGS: Training-Free Gaussian Splat Simplification

arXiv Mar 17, 2026
3D Gaussian Splat (3DGS) enables high-fidelity, real-time novel view synthesis by representing scenes with large sets of anisotropic primitives, but often requires millions of Splats, incurring significant storage and transmission costs. Most existin... read more 
Computer Vision and Pattern Recognition cs.GR

PathGLS: Evaluating Pathology Vision-Language Models without Ground Truth through Multi-Dimensional Consistency

arXiv Mar 17, 2026
Vision-Language Models (VLMs) offer significant potential in computational pathology by enabling interpretable image analysis, automated reporting, and scalable decision support. However, their widespread clinical adoption remains limited due to the ... read more 
Computer Vision and Pattern Recognition cs.AI

EPOFusion: Exposure aware Progressive Optimization Method for Infrared and Visible Image Fusion

arXiv Mar 17, 2026
Overexposure frequently occurs in practical scenarios, causing the loss of critical visual information. However, existing infrared and visible fusion methods still exhibit unsatisfactory performance in highly bright regions. To address this, we propo... read more 
Computer Vision and Pattern Recognition
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