Artificial Intelligence Medical Compendium

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

Showing 11,011 to 11,020 of 209,601 articles

Multi-Modal Building Inspection via Perceiver IO Fusion of Satellite and Street-Level Imagery

arXiv May 25, 2026
We present a multi-modal classification framework that fuses satellite and street-level imagery through a Perceiver IO architecture operating on spatial patch tokens from a shared DINOv2 backbone. The design naturally handles a variable number of str... read more 
Computer Vision and Pattern Recognition

VisualNeedle: Benchmarking Active Visual Search in Information-Dense Scenes

arXiv May 25, 2026
Frontier multimodal large language models (MLLMs) have been reported to achieve over 90% accuracy on fine-grained perception benchmarks. However, such scores do not necessarily imply faithful use of visual evidence. Prior studies have identified thre... read more 
Computer Vision and Pattern Recognition cs.AI

BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Modeling in Hepatocellular Carcinoma

arXiv May 25, 2026
Hepatocellular carcinoma (HCC) is biologically heterogeneous, shaped by the interplay between hepatic functional reserve and tumor-related oncologic factors; thus, similar survival outcomes may reflect fundamentally different underlying biological pr... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Joint Instance Segmentation and Geometric Attribute Regression for Roof Structures in Aerial Imagery

arXiv May 25, 2026
We present a method for jointly predicting instance-level roof segment masks together with three continuous geometric attributes -- building height, roof slope, and roof azimuth -- from a single aerial orthophoto. Our approach extends Mask R-CNN with... read more 
Computer Vision and Pattern Recognition

Unified Panoramic Geometry Estimation via Multi-View Foundation Models

arXiv May 25, 2026
Geometry estimation from perspective images has greatly advanced, maturing to the point where off-the-shelf foundation models are able to reconstruct 3D scene structure not only from multi-view imagery, but even from a single view. A natural extensio... read more 
Computer Vision and Pattern Recognition cs.AI

Personalized Generative Models for Contextual Debiasing

arXiv May 25, 2026
Different visual patterns appear with different frequencies in the world: e.g., beach balls appear on sand more often than they do on a road. These statistics are reflected in vision datasets, and as a result trained models more easily recognize obje... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Erased but Exploitable: Black-box Embedding-Aware Prompting Against Unlearned Text-to-Image Diffusion Models

arXiv May 25, 2026
Machine unlearning aims to remove specific concepts from pretrained text-to-image diffusion models, yet several white- and black-box attacks have been introduced to make the model generate such unlearned concepts. These attacks, nevertheless, do not ... read more 
Computer Vision and Pattern Recognition cs.AI

NightSight: Passive Computation for Navigation in Dark Using Events

arXiv May 25, 2026
Small aerial robots are particularly well-suited for search and rescue in confined and hazardous environments due to their agility, low cost, and ability to traverse through cluttered spaces that are inaccessible to larger platforms. However, enablin... read more 
Robotics

RadarSim: Simulating Single-Chip Radar via Multimodal Neural Fields

arXiv May 25, 2026
Radars are an ideal complement to cameras: both are inexpensive, solid-state sensors, with cameras offering fine angular resolution, while radars provide metric depth and robustness under adverse weather. However, radar data is more difficult to inte... read more 
Computer Vision and Pattern Recognition

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding

arXiv May 25, 2026
The application of generalist multimodal models (GMMs) to specialized scientific domains remains limited due to the scarcity of comprehensive domain-specific datasets that integrate multiple data modalities beyond text and images. In seismology, unde... read more 
Machine Learning cs.CL
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