Artificial Intelligence Medical Compendium

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

Showing 1,721 to 1,730 of 213,568 articles

Benchmarking Face Recognition without Real Faces

arXiv Jul 16, 2026
Synthetic face datasets have become effective enough to train face recognition models with accuracy rivaling that of models trained on real photographs. This progress sidesteps the ethical and legal burdens of collecting real biometric data, yet eval... read more 
Computer Vision and Pattern Recognition cs.AI

Still image and spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels

arXiv Jul 16, 2026
In this manuscript we release two datasets for visual sensing of tomato plants grown in commercial-like settings and acquired using a robot. The first is BUTom21 which consists of still images and manual annotations. The second is BUTom-ST21 which co... read more 
Computer Vision and Pattern Recognition

Introspective Attention Modulation for Safe Text-to-Image Generation

arXiv Jul 16, 2026
State-of-the-art flow based text-to-image (T2I) models exhibit remarkable generative abilities but remain vulnerable to producing unsafe content. Prior safety efforts range from concept erasure and prompt filtering to classifier-based gating. However... read more 
Computer Vision and Pattern Recognition

Optimal Self-Distillation for Rectified Flow via Linear Probing

arXiv Jul 16, 2026
Modern generative models are increasingly trained using model-generated signals, creating both opportunities for self-improvement and risks of collapse. We study optimal self-distillation (SD) for rectified flow (RF): given a suboptimal teacher veloc... read more 
Machine Learning cs.LG

Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation

arXiv Jul 16, 2026
Text-to-image (T2I) models can synthesize realistic, prompt-aligned images, yet samples generated for the same prompt often cover only a small subset of visually distinct modes. This limits the diversity of images, and for person-centric prompts, can... read more 
Machine Learning cs.AI cs.CV

Stitch-Inferencer: Enhance Endoscopic Video Segmentation and Tracking via Panoramic Reconstruction

arXiv Jul 16, 2026
Surgical video understanding is fundamental to navigation systems. Endoscopic perception is often hindered by a limited field-of-view and frequent instrument occlusions, making spatio-temporal context essential for robust inference. These challenges ... read more 
Computer Vision and Pattern Recognition

On Success and Simplicity: A Second Look at Transferable Vision-Language Attack Pipeline

arXiv Jul 16, 2026
Vision-Language Pre-training Models (VLPMs) are known to be vulnerable to adversarial attacks. Recent transferable attacks on VLPMs have followed a common pipeline with complicated loss functions or multi-stage text/image attacks. However, in this pa... read more 
Computer Vision and Pattern Recognition cs.CR

Multimodal Semantic-Aware Contrastive Learning For False Negative Mitigation in 3D Medical Imaging

arXiv Jul 16, 2026
Multimodal Contrastive Learning (CL) has shown significant performance in aligning representations across various data modalities and improving downstream tasks, especially in healthcare. It works by minimizing the distance between matched (positive)... read more 
Machine Learning q-bio.QM

Parameter-efficient Prompt Tuning of Vision Foundation Model With Adaptive Focal Loss for Interpretable MCI Screening

arXiv Jul 16, 2026
Mild Cognitive Impairment is a critical early stage of cognitive decline that frequently precedes Alzheimer's disease, yet its automated detection from neuropsychological drawing tests remains fundamentally constrained by data scarcity, class imbalan... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

SUFLECA: Scaling Up Feature Learning for CAD-to-image Alignment

arXiv Jul 16, 2026
CAD-to-image alignment aims to estimate an object's 9D pose (rotation, translation, and anisotropic scale) from a single RGB image, enabling applications in robotics and augmented reality. Recent zero-shot methods use visual foundation models to matc... read more 
Computer Vision and Pattern Recognition cs.RO
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