Artificial Intelligence Medical Compendium

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

Showing 56,831 to 56,840 of 227,153 articles

Color Matters: Demosaicing-Guided Color Correlation Training for Generalizable AI-Generated Image Detection

arXiv Jan 30, 2026
As realistic AI-generated images threaten digital authenticity, we address the generalization failure of generative artifact-based detectors by exploiting the intrinsic properties of the camera imaging pipeline. Concretely, we investigate color corre... read more 
Computer Vision and Pattern Recognition cs.CR

Compact Hypercube Embeddings for Fast Text-based Wildlife Observation Retrieval

arXiv Jan 30, 2026
Large-scale biodiversity monitoring platforms increasingly rely on multimodal wildlife observations. While recent foundation models enable rich semantic representations across vision, audio, and language, retrieving relevant observations from massive... read more 
Information Retrieval cs.CV cs.LG cs.MM cs.SD

HeatMat: Simulation of City Material Impact on Urban Heat Island Effect

arXiv Jan 30, 2026
The Urban Heat Island (UHI) effect, defined as a significant increase in temperature in urban environments compared to surrounding areas, is difficult to study in real cities using sensor data (satellites or in-situ stations) due to their coarse spat... read more 
Graphics cs.CV

Diachronic Stereo Matching for Multi-Date Satellite Imagery

arXiv Jan 30, 2026
Recent advances in image-based satellite 3D reconstruction have progressed along two complementary directions. On one hand, multi-date approaches using NeRF or Gaussian-splatting jointly model appearance and geometry across many acquisitions, achievi... read more 
Computer Vision and Pattern Recognition

FarmMind: Reasoning-Query-Driven Dynamic Segmentation for Farmland Remote Sensing Images

arXiv Jan 30, 2026
Existing methods for farmland remote sensing image (FRSI) segmentation generally follow a static segmentation paradigm, where analysis relies solely on the limited information contained within a single input patch. Consequently, their reasoning capab... read more 
Computer Vision and Pattern Recognition

User-Adaptive Meta-Learning for Cold-Start Medication Recommendation with Uncertainty Filtering

arXiv Jan 30, 2026
Large-scale Electronic Health Record (EHR) databases have become indispensable in supporting clinical decision-making through data-driven treatment recommendations. However, existing medication recommender methods often struggle with a user (i.e., pa... read more 
Machine Learning cs.AI

NativeTok: Native Visual Tokenization for Improved Image Generation

arXiv Jan 30, 2026
VQ-based image generation typically follows a two-stage pipeline: a tokenizer encodes images into discrete tokens, and a generative model learns their dependencies for reconstruction. However, improved tokenization in the first stage does not necessa... read more 
Computer Vision and Pattern Recognition

Neural Clothing Tryer: Customized Virtual Try-On via Semantic Enhancement and Controlling Diffusion Model

arXiv Jan 30, 2026
This work aims to address a novel Customized Virtual Try-ON (Cu-VTON) task, enabling the superimposition of a specified garment onto a model that can be customized in terms of appearance, posture, and additional attributes. Compared with traditional ... read more 
Computer Vision and Pattern Recognition

Inference-Time Dynamic Modality Selection for Incomplete Multimodal Classification

arXiv Jan 30, 2026
Multimodal deep learning (MDL) has achieved remarkable success across various domains, yet its practical deployment is often hindered by incomplete multimodal data. Existing incomplete MDL methods either discard missing modalities, risking the loss o... read more 
Computer Vision and Pattern Recognition

OptiMAG: Structure-Semantic Alignment via Unbalanced Optimal Transport

arXiv Jan 30, 2026
Multimodal Attributed Graphs (MAGs) have been widely adopted for modeling complex systems by integrating multi-modal information, such as text and images, on nodes. However, we identify a discrepancy between the implicit semantic structure induced by... read more 
Machine Learning
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