Artificial Intelligence Medical Compendium

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

Showing 45,461 to 45,470 of 224,055 articles

Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning

arXiv Mar 2, 2026
Training large foundation models from scratch for domain-specific applications is almost impossible due to data limits and long-tailed distributions -- taking remote sensing (RS) as an example. Fine-tuning natural image pre-trained models on RS image... read more 
Machine Learning

Downstream Task Inspired Underwater Image Enhancement: A Perception-Aware Study from Dataset Construction to Network Design

arXiv Mar 2, 2026
In real underwater environments, downstream image recognition tasks such as semantic segmentation and object detection often face challenges posed by problems like blurring and color inconsistencies. Underwater image enhancement (UIE) has emerged as ... read more 
Computer Vision and Pattern Recognition eess.IV

D3LM: A Discrete DNA Diffusion Language Model for Bidirectional DNA Understanding and Generation

arXiv Mar 2, 2026
Early DNA foundation models adopted BERT-style training, achieving good performance on DNA understanding tasks but lacking generative capabilities. Recent autoregressive models enable DNA generation, but employ left-to-right causal modeling that is s... read more 
Machine Learning q-bio.GN

Non-verbal Real-time Human-AI Interaction in Constrained Robotic Environments

arXiv Mar 2, 2026
We study the ongoing debate regarding the statistical fidelity of AI-generated data compared to human-generated data in the context of non-verbal communication using full body motion. Concretely, we ask if contemporary generative models move beyond s... read more 
Computer Vision and Pattern Recognition cs.AI

Neural Operator-Grounded Continuous Tensor Function Representation and Its Applications

arXiv Mar 2, 2026
Recently, continuous tensor functions have attracted increasing attention, because they can unifiedly represent data both on mesh grids and beyond mesh grids. However, since mode-$n$ product is essentially discrete and linear, the potential of curren... read more 
Computer Vision and Pattern Recognition math.NA

Affine Correspondences in Stereo Vision: Theory, Practice, and Limitations

arXiv Mar 2, 2026
Affine transformations have been recently used for stereo vision. They can be exploited in various computer vision application, e.g., when estimating surface normals, homographies, fundamental and essential matrices. Even full 3D reconstruction can b... read more 
Computer Vision and Pattern Recognition

Constrained Particle Seeking: Solving Diffusion Inverse Problems with Just Forward Passes

arXiv Mar 2, 2026
Diffusion models have gained prominence as powerful generative tools for solving inverse problems due to their ability to model complex data distributions. However, existing methods typically rely on complete knowledge of the forward observation proc... read more 
Machine Learning stat.ML

FireRed-OCR Technical Report

arXiv Mar 2, 2026
We present FireRed-OCR, a systematic framework to specialize general VLMs into high-performance OCR models. Large Vision-Language Models (VLMs) have demonstrated impressive general capabilities but frequently suffer from ``structural hallucination'' ... read more 
Computer Vision and Pattern Recognition eess.IV

CTForensics: A Comprehensive Dataset and Method for AI-Generated CT Image Detection

arXiv Mar 2, 2026
With the rapid development of generative AI in medical imaging, synthetic Computed Tomography (CT) images have demonstrated great potential in applications such as data augmentation and clinical diagnosis, but they also introduce serious security ris... read more 
Computer Vision and Pattern Recognition

Diagnosing Generalization Failures from Representational Geometry Markers

arXiv Mar 2, 2026
Generalization, the ability to perform well beyond the training context, is a hallmark of biological and artificial intelligence, yet anticipating unseen failures remains a central challenge. Conventional approaches often take a ``bottom-up'' mechani... read more 
Machine Learning cs.AI
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