Artificial Intelligence Medical Compendium

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

Showing 45,101 to 45,110 of 224,055 articles

ATD: Improved Transformer with Adaptive Token Dictionary for Image Restoration

arXiv Mar 3, 2026
Recently, Transformers have gained significant popularity in image restoration tasks such as image super-resolution and denoising, owing to their superior performance. However, balancing performance and computational burden remains a long-standing pr... read more 
Computer Vision and Pattern Recognition

Neural Electromagnetic Fields for High-Resolution Material Parameter Reconstruction

arXiv Mar 3, 2026
Creating functional Digital Twins, simulatable 3D replicas of the real world, is a central challenge in computer vision. Current methods like NeRF produce visually rich but functionally incomplete twins. The key barrier is the lack of underlying mate... read more 
Computer Vision and Pattern Recognition eess.SP

Maximizing Generalization: The Effect of Different Augmentation Techniques on Lightweight Vision Transformer for Bengali Character Classification

arXiv Mar 3, 2026
Deep learning models have proven to be highly effective in computer vision, with deep convolutional neural networks achieving impressive results across various computer vision tasks. However, these models rely heavily on large datasets to avoid overf... read more 
Computer Vision and Pattern Recognition

Synthetic-Child: An AIGC-Based Synthetic Data Pipeline for Privacy-Preserving Child Posture Estimation

arXiv Mar 3, 2026
Accurate child posture estimation is critical for AI-powered study companion devices, yet collecting large-scale annotated datasets of children is both expensive and ethically prohibitive due to privacy concerns. We present Synthetic-Child, an AIGC-b... read more 
Computer Vision and Pattern Recognition

VLMFusionOcc3D: VLM Assisted Multi-Modal 3D Semantic Occupancy Prediction

arXiv Mar 3, 2026
This paper introduces VLMFusionOcc3D, a robust multimodal framework for dense 3D semantic occupancy prediction in autonomous driving. Current voxel-based occupancy models often struggle with semantic ambiguity in sparse geometric grids and performanc... read more 
Computer Vision and Pattern Recognition cs.RO

Detecting Structural Heart Disease from Electrocardiograms via a Generalized Additive Model of Interpretable Foundation-Model Predictors

arXiv Mar 3, 2026
Structural heart disease (SHD) is a prevalent condition with many undiagnosed cases, and early detection is often limited by the high cost and accessibility constraints of echocardiography (ECHO). Recent studies show that artificial intelligence (AI)... read more 
Applications cs.AI cs.LG stat.ME stat.ML

Mind the Way You Select Negative Texts: Pursuing the Distance Consistency in OOD Detection with VLMs

arXiv Mar 3, 2026
Out-of-distribution (OOD) detection seeks to identify samples from unknown classes, a critical capability for deploying machine learning models in open-world scenarios. Recent research has demonstrated that Vision-Language Models (VLMs) can effective... read more 
Computer Vision and Pattern Recognition

Direct Reward Fine-Tuning on Poses for Single Image to 3D Human in the Wild

arXiv Mar 3, 2026
Single-view 3D human reconstruction has achieved remarkable progress through the adoption of multi-view diffusion models, yet the recovered 3D humans often exhibit unnatural poses. This phenomenon becomes pronounced when reconstructing 3D humans with... read more 
Computer Vision and Pattern Recognition

Evaluating Cross-Modal Reasoning Ability and Problem Characteristics with Multimodal Item Response Theory

arXiv Mar 3, 2026
Multimodal Large Language Models (MLLMs) have recently emerged as general architectures capable of reasoning over diverse modalities. Benchmarks for MLLMs should measure their ability for cross-modal integration. However, current benchmarks are fille... read more 
Computation and Language cs.CV

DREAM: Where Visual Understanding Meets Text-to-Image Generation

arXiv Mar 3, 2026
Unifying visual representation learning and text-to-image (T2I) generation within a single model remains a central challenge in multimodal learning. We introduce DREAM, a unified framework that jointly optimizes discriminative and generative objectiv... read more 
Computer Vision and Pattern Recognition cs.LG
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