Artificial Intelligence Medical Compendium

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

Showing 47,601 to 47,610 of 224,199 articles

Beyond Human Performance: A Vision-Language Multi-Agent Approach for Quality Control in Pharmaceutical Manufacturing

arXiv Feb 24, 2026
Colony-forming unit (CFU) detection is critical in pharmaceutical manufacturing, serving as a key component of Environmental Monitoring programs and ensuring compliance with stringent quality standards. Manual counting is labor-intensive and error-pr... read more 
Computer Vision and Pattern Recognition

Sample-efficient evidence estimation of score based priors for model selection

arXiv Feb 24, 2026
The choice of prior is central to solving ill-posed imaging inverse problems, making it essential to select one consistent with the measurements $y$ to avoid severe bias. In Bayesian inverse problems, this could be achieved by evaluating the model ev... read more 
Machine Learning cs.CV stat.ME

The Finite Primitive Basis Theorem for Computational Imaging: Formal Foundations of the OperatorGraph Representation

arXiv Feb 24, 2026
Computational imaging forward models, from coded aperture spectral cameras to MRI scanners, are traditionally implemented as monolithic, modality-specific codes. We prove that every forward model in a broad, precisely defined operator class Cimg (enc... read more 
Computer Vision and Pattern Recognition

CAD-Prompted SAM3: Geometry-Conditioned Instance Segmentation for Industrial Objects

arXiv Feb 24, 2026
Verbal-prompted segmentation is inherently limited by the expressiveness of natural language and struggles with uncommon, instance-specific, or difficult-to-describe objects: scenarios frequently encountered in manufacturing and 3D printing environme... read more 
Computer Vision and Pattern Recognition

BFA++: Hierarchical Best-Feature-Aware Token Prune for Multi-View Vision Language Action Model

arXiv Feb 24, 2026
Vision-Language-Action (VLA) models have achieved significant breakthroughs by leveraging Large Vision Language Models (VLMs) to jointly interpret instructions and visual inputs. However, the substantial increase in visual tokens, particularly from m... read more 
Robotics cs.CV

AIForge-Doc: A Benchmark for Detecting AI-Forged Tampering in Financial and Form Documents

arXiv Feb 24, 2026
We present AIForge-Doc, the first dedicated benchmark targeting exclusively diffusion-model-based inpainting in financial and form documents with pixel-level annotation. Existing document forgery datasets rely on traditional digital editing tools (e.... read more 
Computer Vision and Pattern Recognition

Long-Term Multi-Session 3D Reconstruction Under Substantial Appearance Change

arXiv Feb 24, 2026
Long-term environmental monitoring requires the ability to reconstruct and align 3D models across repeated site visits separated by months or years. However, existing Structure-from-Motion (SfM) pipelines implicitly assume near-simultaneous image cap... read more 
Computer Vision and Pattern Recognition cs.RO

RecoverMark: Robust Watermarking for Localization and Recovery of Manipulated Faces

arXiv Feb 24, 2026
The proliferation of AI-generated content has facilitated sophisticated face manipulation, severely undermining visual integrity and posing unprecedented challenges to intellectual property. In response, a common proactive defense leverages fragile w... read more 
Computer Vision and Pattern Recognition

Object-Scene-Camera Decomposition and Recomposition for Data-Efficient Monocular 3D Object Detection

arXiv Feb 24, 2026
Monocular 3D object detection (M3OD) is intrinsically ill-posed, hence training a high-performance deep learning based M3OD model requires a humongous amount of labeled data with complicated visual variation from diverse scenes, variety of objects an... read more 
Computer Vision and Pattern Recognition cs.RO

From Pairs to Sequences: Track-Aware Policy Gradients for Keypoint Detection

arXiv Feb 24, 2026
Keypoint-based matching is a fundamental component of modern 3D vision systems, such as Structure-from-Motion (SfM) and SLAM. Most existing learning-based methods are trained on image pairs, a paradigm that fails to explicitly optimize for the long-t... read more 
Computer Vision and Pattern Recognition
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