Artificial Intelligence Medical Compendium

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

Showing 31,571 to 31,580 of 220,544 articles

MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models

arXiv Apr 13, 2026
In the progress of industrial anomaly detection, general anomaly detection (GAD) is an emerging trend and also the ultimate goal. Unlike the conventional single- and multi-class AD, general AD aims to train a general AD model that can directly detect... read more 
Computer Vision and Pattern Recognition cs.AI

Speech-preserving active noise control: a deep learning approach in reverberant environments

arXiv Apr 13, 2026
Traditional Active Noise Control (ANC) systems are mostly based on FxLMS algorithms, but such algorithms rely on linear assumptions and are often limited in handling broadband non-stationary noise or nonlinear acoustic paths. Not only that, the tradi... read more 
Signal Processing cs.SD eess.AS

Energy-oriented Diffusion Bridge for Image Restoration with Foundational Diffusion Models

arXiv Apr 13, 2026
Diffusion bridge models have shown great promise in image restoration by explicitly connecting clean and degraded image distributions. However, they often rely on complex and high-cost trajectories, which limit both sampling efficiency and final rest... read more 
Computer Vision and Pattern Recognition

ArtiCAD: Articulated CAD Assembly Design via Multi-Agent Code Generation

arXiv Apr 13, 2026
Parametric Computer-Aided Design (CAD) of articulated assemblies is essential for product development, yet generating these multi-part, movable models from high-level descriptions remains unexplored. To address this, we propose ArtiCAD, the first tra... read more 
Computer Vision and Pattern Recognition

ArtiCAD: Articulated CAD Assembly Design via Multi-Agent Code Generation

arXiv Apr 13, 2026
Parametric Computer-Aided Design (CAD) of articulated assemblies is essential for product development, yet generating these multi-part, movable models from high-level descriptions remains unexplored. To address this, we propose ArtiCAD, the first tra... read more 
Computer Vision and Pattern Recognition

Sanity Checks for Agentic Data Science

arXiv Apr 13, 2026
Agentic data science (ADS) pipelines have grown rapidly in both capability and adoption, with systems such as OpenAI Codex now able to directly analyze datasets and produce answers to statistical questions. However, these systems can reach falsely op... read more 
Artificial Intelligence cs.LG

Panoptic Pairwise Distortion Graph

arXiv Apr 13, 2026
In this work, we introduce a new perspective on comparative image assessment by representing an image pair as a structured composition of its regions. In contrast, existing methods focus on whole image analysis, while implicitly relying on region-lev... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Towards Realistic 3D Emission Materials: Dataset, Baseline, and Evaluation for Emission Texture Generation

arXiv Apr 13, 2026
3D texture generation is receiving increasing attention, as it enables the creation of realistic and aesthetic texture materials for untextured 3D meshes. However, existing 3D texture generation methods are limited to producing only a few types of no... read more 
Computer Vision and Pattern Recognition

Data-Efficient Semantic Segmentation of 3D Point Clouds via Open-Vocabulary Image Segmentation-based Pseudo-Labeling

arXiv Apr 13, 2026
Semantic segmentation of 3D point cloud scenes is a crucial task for various applications. In real-world scenarios, training segmentation models often faces three concurrent forms of data insufficiency: scarcity of training scenes, scarcity of point-... read more 
Computer Vision and Pattern Recognition

Byte-level generative predictions for forensics multimedia carving

arXiv Apr 13, 2026
Digital forensic investigations often face significant challenges when recovering fragmented multimedia files that lack file system metadata. While traditional file carving relies on signatures and discriminative deep learning models for fragment cla... read more 
Computer Vision and Pattern Recognition
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