Artificial Intelligence Medical Compendium

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

Showing 25,091 to 25,100 of 217,472 articles

Fractionally Supervised Classification with Maxima Nominated Samples

arXiv Apr 28, 2026
Fractionally supervised classification (FSC) offers a flexible framework for combining labeled and unlabeled data in model-based classification, but existing formulations assume simple random sampling. In many applications, however, the retained obse... read more 
Methodology cs.LG stat.ML

Benchmarking OCR Pipelines with Adaptive Enhancement for Multi-Domain Retail Bill Digitization

arXiv Apr 28, 2026
The digitization of multi-domain retail billing documents remains a challenging task due to variability in scan quality, layout heterogeneity, and domain diversity across commercial sectors. This paper proposes and benchmarks an intelligent, quality-... read more 
Computer Vision and Pattern Recognition cs.LG

Lightweight Real-Time Rendering Parameter Optimization via XGBoost-Driven Lookup Tables

arXiv Apr 28, 2026
Achieving a desirable balance between rendering quality and real-time performance is a long-standing challenge in modern game and rendering engines, particularly on resource-constrained mobile devices such as laptops, tablets, and smartphones. Existi... read more 
Computer Vision and Pattern Recognition

FCMBench-Video: Benchmarking Document Video Intelligence

arXiv Apr 28, 2026
Document understanding is a critical capability in financial credit review, onboarding, and remote verification, where both decision accuracy and evidence traceability matter. Compared with static document images, document videos present a temporally... read more 
Computer Vision and Pattern Recognition cs.CE cs.MM

Image Classification via Random Dilated Convolution with Multi-Branch Feature Extraction and Context Excitation

arXiv Apr 28, 2026
Image classification remains a fundamental yet challenging task in computer vision, particularly when fine-grained feature extraction and background noise suppression are required simultaneously. Conventional convolutional neural networks, despite th... read more 
Computer Vision and Pattern Recognition

When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents

arXiv Apr 28, 2026
OpenAI's GPT-Image-2 has effectively erased the visual boundary between authentic and AI-edited document images: a single number on a receipt can be replaced in under a second for a few cents. We release AIForge-Doc v2, a paired dataset of 3,066 GPT-... read more 
Computer Vision and Pattern Recognition

VLM Judges Can Rank but Cannot Score: Task-Dependent Uncertainty in Multimodal Evaluation

arXiv Apr 28, 2026
Vision-language models (VLMs) are increasingly used as automated judges for multimodal systems, yet their scores provide no indication of reliability. We study this problem through conformal prediction, a distribution-free framework that converts a j... read more 
Machine Learning cs.CL cs.CV stat.ML

VLM Judges Can Rank but Cannot Score: Task-Dependent Uncertainty in Multimodal Evaluation

arXiv Apr 28, 2026
Vision-language models (VLMs) are increasingly used as automated judges for multimodal systems, yet their scores provide no indication of reliability. We study this problem through conformal prediction, a distribution-free framework that converts a j... read more 
Machine Learning cs.CL cs.CV stat.ML

Combating Visual Neglect and Semantic Drift in Large Multimodal Models for Enhanced Cross-Modal Retrieval

arXiv Apr 28, 2026
Despite significant progress in Unified Multimodal Retrieval (UMR) powered by Large Multimodal Models (LMMs), existing embedding methods primarily focus on sample-level objectives via contrastive learning while overlooking the crucial subject-level s... read more 
Computer Vision and Pattern Recognition

The Thinking Pixel: Recursive Sparse Reasoning in Multimodal Diffusion Latents

arXiv Apr 28, 2026
Diffusion models have achieved success in high-fidelity data synthesis, yet their capacity for more complex, structured reasoning like text following tasks remains constrained. While advances in language models have leveraged strategies such as laten... read more 
Computer Vision and Pattern Recognition cs.AI
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