Artificial Intelligence Medical Compendium

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

Showing 30,251 to 30,260 of 220,100 articles

Prompt-to-Gesture: Measuring the Capabilities of Image-to-Video Deictic Gesture Generation

arXiv Apr 16, 2026
Gesture recognition research, unlike NLP, continues to face acute data scarcity, with progress constrained by the need for costly human recordings or image processing approaches that cannot generate authentic variability in the gestures themselves. R... read more 
Computer Vision and Pattern Recognition

Frequency-Enhanced Dual-Subspace Networks for Few-Shot Fine-Grained Image Classification

arXiv Apr 16, 2026
Few-shot fine-grained image classification aims to recognize subcategories with high visual similarity using only a limited number of annotated samples. Existing metric learning-based methods typically rely solely on spatial domain features. Confined... read more 
Computer Vision and Pattern Recognition

UniDoc-RL: Coarse-to-Fine Visual RAG with Hierarchical Actions and Dense Rewards

arXiv Apr 16, 2026
Retrieval-Augmented Generation (RAG) extends Large Vision-Language Models (LVLMs) with external visual knowledge. However, existing visual RAG systems typically rely on generic retrieval signals that overlook the fine-grained visual semantics essenti... read more 
Computer Vision and Pattern Recognition cs.AI

UniDoc-RL: Coarse-to-Fine Visual RAG with Hierarchical Actions and Dense Rewards

arXiv Apr 16, 2026
Retrieval-Augmented Generation (RAG) extends Large Vision-Language Models (LVLMs) with external visual knowledge. However, existing visual RAG systems typically rely on generic retrieval signals that overlook the fine-grained visual semantics essenti... read more 
Computer Vision and Pattern Recognition cs.AI

Robustness of Vision Foundation Models to Common Perturbations

arXiv Apr 16, 2026
A vision foundation model outputs an embedding vector for an image, which can be affected by common editing operations (e.g., JPEG compression, brightness, contrast adjustments). These common perturbations alter embedding vectors and may impact the p... read more 
Cryptography and Security cs.CV

Flow of Truth: Proactive Temporal Forensics for Image-to-Video Generation

arXiv Apr 16, 2026
The rapid rise of image-to-video (I2V) generation enables realistic videos to be created from a single image but also brings new forensic demands. Unlike static images, I2V content evolves over time, requiring forensics to move beyond 2D pixel-level ... read more 
Computer Vision and Pattern Recognition

Quality-Aware Calibration for AI-Generated Image Detection in the Wild

arXiv Apr 16, 2026
Significant progress has been made in detecting synthetic images, however most existing approaches operate on a single image instance and overlook a key characteristic of real-world dissemination: as viral images circulate on the web, multiple near-d... read more 
Computer Vision and Pattern Recognition

When Fairness Metrics Disagree: Evaluating the Reliability of Demographic Fairness Assessment in Machine Learning

arXiv Apr 16, 2026
The evaluation of fairness in machine learning systems has become a central concern in high-stakes applications, including biometric recognition, healthcare decision-making, and automated risk assessment. Existing approaches typically rely on a small... read more 
Machine Learning cs.AI cs.CV

Implicit Neural Representations: A Signal Processing Perspective

arXiv Apr 16, 2026
Implicit neural representations (INRs) mark a fundamental shift in signal modeling, moving from discrete sampled data to continuous functional representations. By parameterizing signals as neural networks, INRs provide a unified framework for represe... read more 
Computer Vision and Pattern Recognition

Attention-Gated Convolutional Networks for Scanner-Agnostic Quality Assessment

arXiv Apr 16, 2026
Motion artifacts present a significant challenge in structural MRI (sMRI), often compromising clinical diagnostics and large-scale automated analysis. While manual quality control (QC) remains the gold standard, it is increasingly unscalable for mass... read more 
Computer Vision and Pattern Recognition
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