Artificial Intelligence Medical Compendium

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

Showing 21,781 to 21,790 of 216,627 articles

Dynamic Pondering Sparsity-aware Mixture-of-Experts Transformer for Event Stream based Visual Object Tracking

arXiv May 7, 2026
Despite significant progress, RGB-based trackers remain vulnerable to challenging imaging conditions, such as low illumination and fast motion. Event cameras offer a promising alternative by asynchronously capturing pixel-wise brightness changes, pro... read more 
Computer Vision and Pattern Recognition cs.AI

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration

arXiv May 7, 2026
Real-world image degradation is often unknown, spatially non-uniform, and compositional, requiring all-in-one restoration models to adapt a single set of weights to diverse local corruption patterns without test-time degradation labels. Existing meth... read more 
Computer Vision and Pattern Recognition cs.AI

Autoregressive Visual Generation Needs a Prologue

arXiv May 7, 2026
In this work, we propose Prologue, an approach to bridging the reconstruction-generation gap in autoregressive (AR) image generation. Instead of modifying visual tokens to satisfy both reconstruction and generation, Prologue generates a small set of ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

SymDrift: One-Shot Generative Modeling under Symmetries

arXiv May 7, 2026
Generative modeling of physical systems, such as molecules, requires learning distributions that are invariant under global symmetries, such as rotations in three-dimensional space. Equivariant diffusion and flow matching models can incorporate such ... read more 
Machine Learning cs.AI

AI-Generated Images: What Humans and Machines See When They Look at the Same Image

arXiv May 7, 2026
The misuse of generative AI in online disinformation campaigns highlights the urgent need for transparent and explainable detection systems. In this work, we investigate how detectors for AI-generated images can be more effective in providing human-u... read more 
Computer Vision and Pattern Recognition cs.AI

Learning Discrete Autoregressive Priors with Wasserstein Gradient Flow

arXiv May 7, 2026
Discrete image tokenizers are commonly trained in two stages: first for reconstruction, and then with a prior model fitted to the frozen token sequences. This decoupling leaves the tokenizer unaware of the model that will later generate its tokens. A... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Secure Seed-Based Multi-bit Watermarking for Diffusion Models from First Principles

arXiv May 7, 2026
The rapid emergence of generative image models has led to the development of specialized watermarking techniques, particularly in-generation methods such as seed-based embedding. However, current evaluations in this area remain largely empirical, mak... read more 
Cryptography and Security cs.CV

Graphlets as Building Blocks for Structural Vocabulary in Knowledge Graph Foundation Models

arXiv May 7, 2026
Foundation models excel at language, where sentences become tokens, and vision, where images become pixels, because both reduce to discrete symbols on a shared, fixed grid. Knowledge Graphs share the discreteness, but not the geometry. Their entities... read more 
Artificial Intelligence cs.LG

Beyond Forgetting in Continual Medical Image Segmentation: A Comprehensive Benchmark Study

arXiv May 7, 2026
Continual learning (CL) is essential for deploying medical image segmentation models in clinical environments where imaging domains, anatomical targets, and diagnostic tasks evolve over time. However, continual segmentation still faces three main cha... read more 
Computer Vision and Pattern Recognition

DynT2I-Eval: A Dynamic Evaluation Framework for Text-to-Image Models

arXiv May 7, 2026
Existing text-to-image (T2I) benchmarks largely rely on fixed prompt sets, leaving them vulnerable to overfitting and benchmark contamination once publicly released and repeatedly reused. In this work, we propose DynT2I-Eval, a fully automated dynami... read more 
Computer Vision and Pattern Recognition
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