Artificial Intelligence Medical Compendium

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

Showing 38,221 to 38,230 of 223,469 articles

Semantic-Aware Prefix Learning for Token-Efficient Image Generation

arXiv Mar 26, 2026
Visual tokenizers play a central role in latent image generation by bridging high-dimensional images and tractable generative modeling. However, most existing tokenizers are still trained with reconstruction-dominated objectives, which often yield la... read more 
Computer Vision and Pattern Recognition

Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models

arXiv Mar 26, 2026
Out-of-distribution (OOD) detection aims to identify samples that deviate from in-distribution (ID). One popular pipeline addresses this by introducing negative labels distant from ID classes and detecting OOD based on their distance to these labels.... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Hyperspectral Trajectory Image for Multi-Month Trajectory Anomaly Detection

arXiv Mar 26, 2026
Trajectory anomaly detection underpins applications from fraud detection to urban mobility analysis. Dense GPS methods preserve fine-grained evidence such as abnormal speeds and short-duration events, but their quadratic cost makes multi-month analys... read more 
Computer Vision and Pattern Recognition cs.LG

ViewSplat: View-Adaptive Dynamic Gaussian Splatting for Feed-Forward Synthesis

arXiv Mar 26, 2026
We present ViewSplat, a view-adaptive 3D Gaussian splatting network for novel view synthesis from unposed images. While recent feed-forward 3D Gaussian splatting has significantly accelerated 3D scene reconstruction by bypassing per-scene optimizatio... read more 
Computer Vision and Pattern Recognition

V2U4Real: A Real-world Large-scale Dataset for Vehicle-to-UAV Cooperative Perception

arXiv Mar 26, 2026
Modern autonomous vehicle perception systems are often constrained by occlusions, blind spots, and limited sensing range. While existing cooperative perception paradigms, such as Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I), have demo... read more 
Computer Vision and Pattern Recognition

Revealing the influence of participant failures on model quality in cross-silo Federated Learning

arXiv Mar 26, 2026
Federated Learning (FL) is a paradigm for training machine learning (ML) models in collaborative settings while preserving participants' privacy by keeping raw data local. A key requirement for the use of FL in production is reliability, as insuffici... read more 
Distributed, Parallel, and Cluster Computing cs.AI

Towards Controllable Low-Light Image Enhancement: A Continuous Multi-illumination Dataset and Efficient State Space Framework

arXiv Mar 26, 2026
Low-light image enhancement (LLIE) has traditionally been formulated as a deterministic mapping. However, this paradigm often struggles to account for the ill-posed nature of the task, where unknown ambient conditions and sensor parameters create a m... read more 
Computer Vision and Pattern Recognition

Adaptive Learned Image Compression with Graph Neural Networks

arXiv Mar 26, 2026
Efficient image compression relies on modeling both local and global redundancy. Most state-of-the-art (SOTA) learned image compression (LIC) methods are based on CNNs or Transformers, which are inherently rigid. Standard CNN kernels and window-based... read more 
Computer Vision and Pattern Recognition

MACRO: Advancing Multi-Reference Image Generation with Structured Long-Context Data

arXiv Mar 26, 2026
Generating images conditioned on multiple visual references is critical for real-world applications such as multi-subject composition, narrative illustration, and novel view synthesis, yet current models suffer from severe performance degradation as ... read more 
Computer Vision and Pattern Recognition

Image Rotation Angle Estimation: Comparing Circular-Aware Methods

arXiv Mar 26, 2026
Automatic image rotation estimation is a key preprocessing step in many vision pipelines. This task is challenging because angles have circular topology, creating boundary discontinuities that hinder standard regression methods. We present a comprehe... read more 
Computer Vision and Pattern Recognition cs.AI eess.IV
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