Artificial Intelligence Medical Compendium

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

Showing 42,931 to 42,940 of 223,853 articles

ICDAR 2025 Competition on End-to-End Document Image Machine Translation Towards Complex Layouts

arXiv Mar 10, 2026
Document Image Machine Translation (DIMT) seeks to translate text embedded in document images from one language to another by jointly modeling both textual content and page layout, bridging optical character recognition (OCR) and natural language pro... read more 
Computer Vision and Pattern Recognition cs.AI

YOLO-NAS-Bench: A Surrogate Benchmark with Self-Evolving Predictors for YOLO Architecture Search

arXiv Mar 10, 2026
Neural Architecture Search (NAS) for object detection is severely bottlenecked by high evaluation cost, as fully training each candidate YOLO architecture on COCO demands days of GPU time. Meanwhile, existing NAS benchmarks largely target image class... read more 
Computer Vision and Pattern Recognition

Open-World Motion Forecasting

arXiv Mar 10, 2026
Motion forecasting aims to predict the future trajectories of dynamic agents in the scene, enabling autonomous vehicles to effectively reason about scene evolution. Existing approaches operate under the closed-world regime and assume fixed object tax... read more 
Computer Vision and Pattern Recognition cs.AI cs.RO

GIIM: Graph-based Learning of Inter- and Intra-view Dependencies for Multi-view Medical Image Diagnosis

arXiv Mar 10, 2026
Computer-aided diagnosis (CADx) has become vital in medical imaging, but automated systems often struggle to replicate the nuanced process of clinical interpretation. Expert diagnosis requires a comprehensive analysis of how abnormalities relate to e... read more 
Computer Vision and Pattern Recognition

A Guideline-Aware AI Agent for Zero-Shot Target Volume Auto-Delineation

arXiv Mar 10, 2026
Delineating the clinical target volume (CTV) in radiotherapy involves complex margins constrained by tumor location and anatomical barriers. While deep learning models automate this process, their rigid reliance on expert-annotated data requires cost... read more 
Computer Vision and Pattern Recognition cs.AI

OmniEarth: A Benchmark for Evaluating Vision-Language Models in Geospatial Tasks

arXiv Mar 10, 2026
Vision-Language Models (VLMs) have demonstrated effective perception and reasoning capabilities on general-domain tasks, leading to growing interest in their application to Earth observation. However, a systematic benchmark for comprehensively evalua... read more 
Computer Vision and Pattern Recognition

Prune Redundancy, Preserve Essence: Vision Token Compression in VLMs via Synergistic Importance-Diversity

arXiv Mar 10, 2026
Vision-language models (VLMs) face significant computational inefficiencies caused by excessive generation of visual tokens. While prior work shows that a large fraction of visual tokens are redundant, existing compression methods struggle to balance... read more 
Computer Vision and Pattern Recognition

Prune Redundancy, Preserve Essence: Vision Token Compression in VLMs via Synergistic Importance-Diversity

arXiv Mar 10, 2026
Vision-language models (VLMs) face significant computational inefficiencies caused by excessive generation of visual tokens. While prior work shows that a large fraction of visual tokens are redundant, existing compression methods struggle to balance... read more 
Computer Vision and Pattern Recognition

Component-Aware Sketch-to-Image Generation Using Self-Attention Encoding and Coordinate-Preserving Fusion

arXiv Mar 10, 2026
Translating freehand sketches into photorealistic images remains a fundamental challenge in image synthesis, particularly due to the abstract, sparse, and stylistically diverse nature of sketches. Existing approaches, including GAN-based and diffusio... read more 
Computer Vision and Pattern Recognition

Streaming Autoregressive Video Generation via Diagonal Distillation

arXiv Mar 10, 2026
Large pretrained diffusion models have significantly enhanced the quality of generated videos, and yet their use in real-time streaming remains limited. Autoregressive models offer a natural framework for sequential frame synthesis but require heavy ... read more 
Computer Vision and Pattern Recognition
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