Artificial Intelligence Medical Compendium

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

Showing 55,511 to 55,520 of 226,647 articles

Moonworks Lunara Aesthetic II: An Image Variation Dataset

arXiv Feb 2, 2026
We introduce Lunara Aesthetic II, a publicly released, ethically sourced image dataset designed to support controlled evaluation and learning of contextual consistency in modern image generation and editing systems. The dataset comprises 2,854 anchor... read more 
Computer Vision and Pattern Recognition

Efficient Adversarial Attacks on High-dimensional Offline Bandits

arXiv Feb 2, 2026
Bandit algorithms have recently emerged as a powerful tool for evaluating machine learning models, including generative image models and large language models, by efficiently identifying top-performing candidates without exhaustive comparisons. These... read more 
Machine Learning cs.AI

From Perception to Action: Spatial AI Agents and World Models

arXiv Feb 2, 2026
While large language models have become the prevailing approach for agentic reasoning and planning, their success in symbolic domains does not readily translate to the physical world. Spatial intelligence, the ability to perceive 3D structure, reason... read more 
Machine Learning cs.AI cs.CV cs.MA cs.RO

ReCALL: Recalibrating Capability Degradation for MLLM-based Composed Image Retrieval

arXiv Feb 2, 2026
Composed Image Retrieval (CIR) aims to retrieve target images based on a hybrid query comprising a reference image and a modification text. Early dual-tower Vision-Language Models (VLMs) struggle with cross-modality compositional reasoning required f... read more 
Computer Vision and Pattern Recognition

Federated Vision Transformer with Adaptive Focal Loss for Medical Image Classification

arXiv Feb 2, 2026
While deep learning models like Vision Transformer (ViT) have achieved significant advances, they typically require large datasets. With data privacy regulations, access to many original datasets is restricted, especially medical images. Federated le... read more 
Computer Vision and Pattern Recognition

Toward Enhancing Representation Learning in Federated Multi-Task Settings

arXiv Feb 2, 2026
Federated multi-task learning (FMTL) seeks to collaboratively train customized models for users with different tasks while preserving data privacy. Most existing approaches assume model congruity (i.e., the use of fully or partially homogeneous model... read more 
Machine Learning cs.AI

Token Pruning for In-Context Generation in Diffusion Transformers

arXiv Feb 2, 2026
In-context generation significantly enhances Diffusion Transformers (DiTs) by enabling controllable image-to-image generation through reference examples. However, the resulting input concatenation drastically increases sequence length, creating a sub... read more 
Computer Vision and Pattern Recognition

Know Your Step: Faster and Better Alignment for Flow Matching Models via Step-aware Advantages

arXiv Feb 2, 2026
Recent advances in flow matching models, particularly with reinforcement learning (RL), have significantly enhanced human preference alignment in few step text to image generators. However, existing RL based approaches for flow matching models typica... read more 
Computer Vision and Pattern Recognition

Genus-0 Surface Parameterization using Spherical Beltrami Differentials

arXiv Feb 2, 2026
Spherical surface parameterization is a fundamental tool in geometry processing and imaging science. For a genus-0 closed surface, many efficient algorithms can map the surface to the sphere; consequently, a broad class of task-driven genus-0 mapping... read more 
Graphics cs.CV cs.LG math.AG

HandMCM: Multi-modal Point Cloud-based Correspondence State Space Model for 3D Hand Pose Estimation

arXiv Feb 2, 2026
3D hand pose estimation that involves accurate estimation of 3D human hand keypoint locations is crucial for many human-computer interaction applications such as augmented reality. However, this task poses significant challenges due to self-occlusion... read more 
Computer Vision and Pattern Recognition
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