Artificial Intelligence Medical Compendium

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

Showing 56,671 to 56,680 of 226,846 articles

DreamActor-M2: Universal Character Image Animation via Spatiotemporal In-Context Learning

arXiv Jan 29, 2026
Character image animation aims to synthesize high-fidelity videos by transferring motion from a driving sequence to a static reference image. Despite recent advancements, existing methods suffer from two fundamental challenges: (1) suboptimal motion ... read more 
Computer Vision and Pattern Recognition cs.AI

ChartE$^{3}$: A Comprehensive Benchmark for End-to-End Chart Editing

arXiv Jan 29, 2026
Charts are a fundamental visualization format for structured data analysis. Enabling end-to-end chart editing according to user intent is of great practical value, yet remains challenging due to the need for both fine-grained control and global struc... read more 
Computer Vision and Pattern Recognition

Can Local Learning Match Self-Supervised Backpropagation?

arXiv Jan 29, 2026
While end-to-end self-supervised learning with backpropagation (global BP-SSL) has become central for training modern AI systems, theories of local self-supervised learning (local-SSL) have struggled to build functional representations in deep neural... read more 
Machine Learning

Multimodal Visual Surrogate Compression for Alzheimer's Disease Classification

arXiv Jan 29, 2026
High-dimensional structural MRI (sMRI) images are widely used for Alzheimer's Disease (AD) diagnosis. Most existing methods for sMRI representation learning rely on 3D architectures (e.g., 3D CNNs), slice-wise feature extraction with late aggregation... read more 
Computer Vision and Pattern Recognition

When Gradient Optimization Is Not Enough: $\dagger$ Dispersive and Anchoring Geometric Regularizer for Multimodal Learning

arXiv Jan 29, 2026
Multimodal learning aims to integrate complementary information from heterogeneous modalities, yet strong optimization alone does not guaranty well-structured representations. Even under carefully balanced training schemes, multimodal models often ex... read more 
Computer Vision and Pattern Recognition cs.LG

Expected Return Causes Outcome-Level Mode Collapse in Reinforcement Learning and How to Fix It with Inverse Probability Scaling

arXiv Jan 29, 2026
Many reinforcement learning (RL) problems admit multiple terminal solutions of comparable quality, where the goal is not to identify a single optimum but to represent a diverse set of high-quality outcomes. Nevertheless, policies trained by standard ... read more 
Machine Learning cs.AI

SONIC-O1: A Real-World Benchmark for Evaluating Multimodal Large Language Models on Audio-Video Understanding

arXiv Jan 29, 2026
Multimodal Large Language Models (MLLMs) are a major focus of recent AI research. However, most prior work focuses on static image understanding, while their ability to process sequential audio-video data remains underexplored. This gap highlights th... read more 
Artificial Intelligence cs.CV

SENDAI: A Hierarchical Sparse-measurement, EfficieNt Data AssImilation Framework

arXiv Jan 29, 2026
Bridging the gap between data-rich training regimes and observation-sparse deployment conditions remains a central challenge in spatiotemporal field reconstruction, particularly when target domains exhibit distributional shifts, heterogeneous structu... read more 
Machine Learning cs.AI cs.CE

Few-Shot Domain Adaptation with Temporal References and Static Priors for Glacier Calving Front Delineation

arXiv Jan 29, 2026
During benchmarking, the state-of-the-art model for glacier calving front delineation achieves near-human performance. However, when applied in a real-world setting at a novel study site, its delineation accuracy is insufficient for calving front pro... read more 
Computer Vision and Pattern Recognition

OCRVerse: Towards Holistic OCR in End-to-End Vision-Language Models

arXiv Jan 29, 2026
The development of large vision language models drives the demand for managing, and applying massive amounts of multimodal data, making OCR technology, which extracts information from visual images, increasingly popular. However, existing OCR methods... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals