Artificial Intelligence Medical Compendium

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

Showing 17,311 to 17,320 of 213,726 articles

Employing Vision-Language Models for Face Image Quality Assessment

arXiv May 17, 2026
Face Image Quality Assessment (FIQA) is a crucial control step in biometric pipelines. It ensures only reliable samples are processed to maintain system accuracy. State-of-the-art FIQA methods achieve high utility but typically operate as "black boxe... read more 
Computer Vision and Pattern Recognition

t-gems: text-guided exit modules for decreasing clip image encoder

arXiv May 17, 2026
Multimodal deep neural networks enhance deep comprehension by integrating diverse data modalities. Data from different modalities are typically projected into a shared latent space for similarity computation, but this process is resource intensive du... read more 
Machine Learning

The Silent Brush: Evaluating Artistic Style Leakage in AI Art Generation

arXiv May 17, 2026
Generative text-to-image models are typically trained on large-scale web-scraped datasets that include diverse visual content such as copyrighted and stylistically distinctive artworks, raising concerns about ownership, attribution, and the unintende... read more 
Machine Learning cs.CV

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle

arXiv May 17, 2026
Most current paradigms in visual mechanistic interpretability (MI) remain confined to interpreting internal units of the vision model via heuristic methods (e.g., top-$K$ activation retrieval or optimization with regularization). In this work, we est... read more 
Computer Vision and Pattern Recognition cs.AI

Degradation Frequency Curve: An Explicit Frequency-Quantified Representation for All-in-One Image Restoration

arXiv May 17, 2026
A fundamental difficulty in all-in-one blind image restoration is that degradation is usually treated as an implicit factor hidden in degraded-to-clean mapping, rather than as an explicit object that can be measured and manipulated. This limitation b... read more 
Computer Vision and Pattern Recognition

CasualSynth: Generating Structurally Sound Synthetic Data

arXiv May 17, 2026
Large Language Models (LLMs) generate realistic synthetic data but offer no guarantee that their outputs respect the causal mechanisms governing the target domain. We introduce CausalSynth, a framework that decouples causal structure generation from ... read more 
Machine Learning cs.AI cs.CL

$\textit{Don't Guess, Just Ask}$: Resolving Ambiguity in Referring Segmentation via Multi-turn Clarification

arXiv May 17, 2026
Referring segmentation aims to segment the target objects in images or videos based on the textual query. Despite remarkable progress over the past years, existing works always assume that the user-provided queries are already precise and clear. Howe... read more 
Computer Vision and Pattern Recognition

Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling

arXiv May 17, 2026
Understanding galaxy morphology evolution across cosmic time requires models that can generate realistic galaxy populations conditioned on redshift. In this work, we study efficient redshift-conditioned generative modeling for astrophysical image syn... read more 
Instrumentation and Methods for Astrophysics astro-ph.GA cs.LG

A Conditional U-Net Pipeline with Pre- and Post-Processing for Aerial RGB-to-Thermal Image Translation

arXiv May 17, 2026
Paired RGB-thermal data has shown significant utility across a range of applications, including image fusion, object tracking, and anomaly detection; however, its broader adoption is constrained by the limited availability of aligned RGB-thermal imag... read more 
Computer Vision and Pattern Recognition

MSIQ: Moment-based Scale-Invariant Quality Measure for Single Image Super-Resolution

arXiv May 17, 2026
Assessing the quality of single image super-resolution (SISR) results remains an open methodological problem. Common full-reference metrics (PSNR, SSIM, LPIPS) do not explicitly evaluate the preservation of the geometric structure of images, which is... read more 
Computer Vision and Pattern Recognition
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