Artificial Intelligence Medical Compendium

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

Showing 56,881 to 56,890 of 227,153 articles

GeoRC: A Benchmark for Geolocation Reasoning Chains

arXiv Jan 29, 2026
Vision Language Models (VLMs) are good at recognizing the global location of a photograph -- their geolocation prediction accuracy rivals the best human experts. But many VLMs are startlingly bad at explaining which image evidence led to their predic... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL cs.LG

Token Entropy Regularization for Multi-modal Antenna Affiliation Identification

arXiv Jan 29, 2026
Accurate antenna affiliation identification is crucial for optimizing and maintaining communication networks. Current practice, however, relies on the cumbersome and error-prone process of manual tower inspections. We propose a novel paradigm shift t... read more 
Computer Vision and Pattern Recognition

Token Entropy Regularization for Multi-modal Antenna Affiliation Identification

arXiv Jan 29, 2026
Accurate antenna affiliation identification is crucial for optimizing and maintaining communication networks. Current practice, however, relies on the cumbersome and error-prone process of manual tower inspections. We propose a novel paradigm shift t... read more 
Computer Vision and Pattern Recognition

Gaussian Belief Propagation Network for Depth Completion

arXiv Jan 29, 2026
Depth completion aims to predict a dense depth map from a color image with sparse depth measurements. Although deep learning methods have achieved state-of-the-art (SOTA), effectively handling the sparse and irregular nature of input depth data in de... read more 
Computer Vision and Pattern Recognition

Mam-App: A Novel Parameter-Efficient Mamba Model for Apple Leaf Disease Classification

arXiv Jan 29, 2026
The rapid growth of the global population, alongside exponential technological advancement, has intensified the demand for food production. Meeting this demand depends not only on increasing agricultural yield but also on minimizing food loss caused ... read more 
Computer Vision and Pattern Recognition

Adversarial Vulnerability Transcends Computational Paradigms: Feature Engineering Provides No Defense Against Neural Adversarial Transfer

arXiv Jan 29, 2026
Deep neural networks are vulnerable to adversarial examples--inputs with imperceptible perturbations causing misclassification. While adversarial transfer within neural networks is well-documented, whether classical ML pipelines using handcrafted fea... read more 
Machine Learning cs.AI cs.CV

Do Pathology Foundation Models Encode Disease Progression? A Pseudotime Analysis of Visual Representations

arXiv Jan 29, 2026
Vision foundation models trained on discretely sampled images achieve strong performance on classification benchmarks, yet whether their representations encode the continuous processes underlying their training data remains unclear. This question is ... read more 
Computer Vision and Pattern Recognition

SR$^{2}$-Net: A General Plug-and-Play Model for Spectral Refinement in Hyperspectral Image Super-Resolution

arXiv Jan 29, 2026
HSI-SR aims to enhance spatial resolution while preserving spectrally faithful and physically plausible characteristics. Recent methods have achieved great progress by leveraging spatial correlations to enhance spatial resolution. However, these meth... read more 
Computer Vision and Pattern Recognition

Memorization Control in Diffusion Models from Denoising-centric Perspective

arXiv Jan 29, 2026
Controlling memorization in diffusion models is critical for applications that require generated data to closely match the training distribution. Existing approaches mainly focus on data centric or model centric modifications, treating the diffusion ... read more 
Machine Learning cs.AI

Graph-Free Root Cause Analysis

arXiv Jan 29, 2026
Failures in complex systems demand rapid Root Cause Analysis (RCA) to prevent cascading damage. Existing RCA methods that operate without dependency graph typically assume that the root cause having the highest anomaly score. This assumption fails wh... read more 
Machine Learning cs.SE
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