Artificial Intelligence Medical Compendium

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

Showing 19,361 to 19,370 of 214,800 articles

Mobile Traffic Camera Calibration from Road Geometry for UAV-Based Traffic Surveillance

arXiv
Unmanned aerial vehicles (UAVs) can provide flexible traffic surveillance where fixed roadside cameras are unavailable, costly, or impractical. However, raw UAV video is difficult to use for traffic analytics because vehicle motion is observed in per... read more 

Vector Scaffolding: Inter-Scale Orchestration for Differentiable Image Vectorization

arXiv
Differentiable vector graphics have enabled powerful gradient-based optimization of vector primitives directly from raster images. However, existing frameworks formulate this as a flat optimization problem, forcing hundreds to thousands of randomly i... read more 

STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning

arXiv
Federated graph learning (FGL) enables collaborative training on graph data across multiple clients. As graph data increasingly contain multimodal node attributes such as text and images, multimodal federated graph learning (MM-FGL) has become an imp... read more 

RealDiffusion: Physics-informed Attention for Multi-character Storybook Generation

arXiv
While modern diffusion models excel at generating diverse single images, extending this to sequential generation reveals a fundamental challenge: balancing narrative dynamism with multi-character coherence. Existing methods often falter at this trade... read more 

Multimodal Abstractive Summarization of Instructional Videos with Vision-Language Models

arXiv
Multimodal video summarization requires visual features that align semantically with language generation. Traditional approaches rely on CNN features trained for object classification, which represent visual concepts as discrete categories not aligne... read more 

Chronicles-OCR: A Cross-Temporal Perception Benchmark for the Evolutionary Trajectory of Chinese Characters

arXiv
Vision Large Language Models (VLLMs) have achieved remarkable success in modern text-rich visual understanding. However, their perceptual robustness in the face of the continuous morphological evolution of historical writing systems remains largely u... read more 

What Does It Mean for a Medical AI System to Be Right?

arXiv
This paper examines what it means for a medical AI system to be right by grounding the question in a specific clinical context: the automatic classification of plasma cells in digitized bone marrow smears for the diagnosis of multiple myeloma. Drawin... read more 

Optimizing 4D Wires for Sparse 3D Abstraction

arXiv
We present a unified framework for 3D geometric abstraction using a single continuous 4D wire, parameterized as a B-spline with spatial coordinates and variable width $(x,y,z,w)$. Existing approaches typically represent shapes as collections of many ... read more 

A Transfer Learning Evaluation of Deep Neural Networks for Image Classification

arXiv
Transfer learning is a machine learning technique that uses previously acquired knowledge from a source domain to enhance learning in a target domain by reusing learned weights. This technique is ubiquitous because of its great advantages in achievin... read more 

EDGER: EDge-Guided with HEatmap Refinement for Generalizable Image Forgery Localization

arXiv
Text-guided inpainting has made image forgery increasingly realistic, challenging both SID and IFL. However, existing methods often struggle to point out suspicious signals across domains. To address this problem, we propose EDGER, a patch-based, dua... read more