Artificial Intelligence Medical Compendium

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

Showing 42,321 to 42,330 of 223,853 articles

InSpatio-WorldFM: An Open-Source Real-Time Generative Frame Model

arXiv Mar 12, 2026
We present InSpatio-WorldFM, an open-source real-time frame model for spatial intelligence. Unlike video-based world models that rely on sequential frame generation and incur substantial latency due to window-level processing, InSpatio-WorldFM adopts... read more 
Computer Vision and Pattern Recognition

Prototype-Based Knowledge Guidance for Fine-Grained Structured Radiology Reporting

arXiv Mar 12, 2026
Structured radiology reporting promises faster, more consistent communication than free text, but automation remains difficult as models must make many fine-grained, discrete decisions about rare findings and attributes from limited structured superv... read more 
Artificial Intelligence cs.CV cs.LG

Preliminary analysis of RGB-NIR Image Registration techniques for off-road forestry environments

arXiv Mar 12, 2026
RGB-NIR image registration plays an important role in sensor-fusion, image enhancement and off-road autonomy. In this work, we evaluate both classical and Deep Learning (DL) based image registration techniques to access their suitability for off-road... read more 
Computer Vision and Pattern Recognition

Uncovering Locally Low-dimensional Structure in Networks by Locally Optimal Spectral Embedding

arXiv Mar 12, 2026
Standard Adjacency Spectral Embedding (ASE) relies on a global low-rank assumption often incompatible with the sparse, transitive structure of real-world networks, causing local geometric features to be 'smeared'. To address this, we introduce Local ... read more 
Machine Learning cs.LG stat.ME

AstroSplat: Physics-Based Gaussian Splatting for Rendering and Reconstruction of Small Celestial Bodies

arXiv Mar 12, 2026
Image-based surface reconstruction and characterization are crucial for missions to small celestial bodies (e.g., asteroids), as it informs mission planning, navigation, and scientific analysis. Recent advances in Gaussian splatting enable high-fidel... read more 
Computer Vision and Pattern Recognition

HomeSafe-Bench: Evaluating Vision-Language Models on Unsafe Action Detection for Embodied Agents in Household Scenarios

arXiv Mar 12, 2026
The rapid evolution of embodied agents has accelerated the deployment of household robots in real-world environments. However, unlike structured industrial settings, household spaces introduce unpredictable safety risks, where system limitations such... read more 
Computer Vision and Pattern Recognition cs.AI cs.CR

HomeSafe-Bench: Evaluating Vision-Language Models on Unsafe Action Detection for Embodied Agents in Household Scenarios

arXiv Mar 12, 2026
The rapid evolution of embodied agents has accelerated the deployment of household robots in real-world environments. However, unlike structured industrial settings, household spaces introduce unpredictable safety risks, where system limitations such... read more 
Computer Vision and Pattern Recognition cs.AI cs.CR

Few-for-Many Personalized Federated Learning

arXiv Mar 12, 2026
Personalized Federated Learning (PFL) aims to train customized models for clients with highly heterogeneous data distributions while preserving data privacy. Existing approaches often rely on heuristics like clustering or model interpolation, which l... read more 
Artificial Intelligence cs.LG

CrossEarth-SAR: A SAR-Centric and Billion-Scale Geospatial Foundation Model for Domain Generalizable Semantic Segmentation

arXiv Mar 12, 2026
Synthetic Aperture Radar (SAR) enables global, all-weather earth observation. However, owing to diverse imaging mechanisms, domain shifts across sensors and regions severely hinder its semantic generalization. To address this, we present CrossEarth-S... read more 
Computer Vision and Pattern Recognition

Pano360: Perspective to Panoramic Vision with Geometric Consistency

arXiv Mar 12, 2026
Prior panorama stitching approaches heavily rely on pairwise feature correspondences and are unable to leverage geometric consistency across multiple views. This leads to severe distortion and misalignment, especially in challenging scenes with weak ... read more 
Computer Vision and Pattern Recognition
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