Artificial Intelligence Medical Compendium

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

Showing 581 to 590 of 213,137 articles

Semantic Color Naturalness Breaker: Preventing Illegitimate Colorization via Content-Aware Color Priors

arXiv Jul 20, 2026
Automatic image colorization enables large-scale and low-cost reuse of grayscale media (e.g., manga panels and archival photographs), facilitating unauthorized reuse and redistribution. Once released online, grayscale content can be readily turned in... read more 
Computer Vision and Pattern Recognition cs.LG

Coarse-to-fine Framework for Generative MEF via Implicit Neural Representation

arXiv Jul 20, 2026
Multi-exposure fusion (MEF) expands the luminance range beyond what a single exposure can capture. Combining images taken at different exposure levels requires handling geometric differences while naturally merging their complementary brightness info... read more 
Computer Vision and Pattern Recognition cs.AI

Rarity-Aware Discrete Diffusion with Spatially Consistent Decoding for Photo-Realistic Image Super-Resolution

arXiv Jul 20, 2026
Continuous diffusion models have become the dominant paradigm for photo-realistic image Super-Resolution (SR), but they typically formulate reconstruction as continuous signal-level denoising and incorporate semantic priors through external condition... read more 
Computer Vision and Pattern Recognition

TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series

arXiv Jul 20, 2026
Time series data play a pivotal role across numerous domains, including healthcare and manufacturing. In real-world environments, models must cope with distribution shifts over time, a challenge commonly addressed through Continual Learning (CL) tech... read more 
Machine Learning cs.AI

MixDiffusion: Mixing Diffusion-based Uni-condition Text-to-Image Generation Models for Multi-condition Image Synthesis

arXiv Jul 20, 2026
Recent advances in text-to-image (T2I) generation have enabled controllable image synthesis by incorporating conditions beyond text. However, most existing diffusion-based methods are limited to a single type of control condition (e.g., bounding boxe... read more 
Computer Vision and Pattern Recognition

Direct Clinical Joint Angle Extraction from Parametric Body Model Rotation Matrices

arXiv Jul 20, 2026
Quantitative joint angles are rarely available in routine care because the tools are slow, costly, or confined to a laboratory. We show that clinical joint angles can be read directly from the per-segment rotation matrices a parametric body model alr... read more 
Computer Vision and Pattern Recognition q-bio.QM

BMFA: Boundary-Minority Free-Energy Adaptive Screening

arXiv Jul 20, 2026
Vision Transformers process spatially redundant tokens efficiently only when coarse token summaries preserve the evidence required by exponential attention aggregation. We identify a boundary-minority underestimation failure in which a spatially smal... read more 
Computer Vision and Pattern Recognition

OrientSAM: Mitigating Camera-Centric Shortcut in Multimodal Spatial Reasoning via Orientation-Aware Spatial Alignment

arXiv Jul 20, 2026
Multimodal large language models (MLLMs) still struggle with spatial reasoning that requires perspective transformation. In particular, they often rely on camera-centric cues rather than reasoning from the reference object's viewpoint, leading to sys... read more 
Artificial Intelligence cs.CV cs.MM

RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity

arXiv Jul 20, 2026
Camera-only 3D semantic occupancy prediction aims to infer voxel-wise scene semantics from multi-view images, yet remains fundamentally challenging due to depth ambiguity and occlusion. Along a single camera ray, multiple spatially separated surfaces... read more 
Computer Vision and Pattern Recognition

Attention from Above: A Multimodal Model for Drone-Based Object Localization

arXiv Jul 20, 2026
Drone-based object detection technology has advanced rapidly, becoming increasingly sophisticated and efficient. Recently, research trends have expanded beyond the detection of predefined objects toward the identification of specified target objects.... read more 
Computer Vision and Pattern Recognition
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