Artificial Intelligence Medical Compendium

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

Showing 43,831 to 43,840 of 224,055 articles

QdaVPR: A novel query-based domain-agnostic model for visual place recognition

arXiv Mar 8, 2026
Visual place recognition (VPR) aiming at predicting the location of an image based solely on its visual features is a fundamental task in robotics and autonomous systems. Domain variation remains one of the main challenges in VPR and is relatively un... read more 
Computer Vision and Pattern Recognition

Disentangled Textual Priors for Diffusion-based Image Super-Resolution

arXiv Mar 8, 2026
Image Super-Resolution (SR) aims to reconstruct high-resolution images from degraded low-resolution inputs. While diffusion-based SR methods offer powerful generative capabilities, their performance heavily depends on how semantic priors are structur... read more 
Computer Vision and Pattern Recognition

Generalization in Online Reinforcement Learning for Mobile Agents

arXiv Mar 8, 2026
Graphical user interface (GUI)-based mobile agents automate digital tasks on mobile devices by interpreting natural-language instructions and interacting with the screen. While recent methods apply reinforcement learning (RL) to train vision-language... read more 
Computer Vision and Pattern Recognition cs.CL cs.HC cs.LG

RPG-SAM: Reliability-Weighted Prototypes and Geometric Adaptive Threshold Selection for Training-Free One-Shot Polyp Segmentation

arXiv Mar 8, 2026
Training-free one-shot segmentation offers a scalable alternative to expert annotations where knowledge is often transferred from support images and foundation models. But existing methods often treat all pixels in support images and query response i... read more 
Computer Vision and Pattern Recognition

DogWeave: High-Fidelity 3D Canine Reconstruction from a Single Image via Normal Fusion and Conditional Inpainting

arXiv Mar 8, 2026
Monocular 3D animal reconstruction is challenging due to complex articulation, self-occlusion, and fine-scale details such as fur. Existing methods often produce distorted geometry and inconsistent textures due to the lack of articulated 3D supervisi... read more 
Computer Vision and Pattern Recognition

Med-Evo: Test-time Self-evolution for Medical Multimodal Large Language Models

arXiv Mar 8, 2026
Medical Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities across diverse healthcare tasks. However, current post-training strategies, such as supervised fine-tuning and reinforcement learning, heavily depend on substa... read more 
Computer Vision and Pattern Recognition

Image Generation Models: A Technical History

arXiv Mar 8, 2026
Image generation has advanced rapidly over the past decade, yet the literature seems fragmented across different models and application domains. This paper aims to offer a comprehensive survey of breakthrough image generation models, including variat... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL cs.GR

SIGMAE: A Spectral-Index-Guided Foundation Model for Multispectral Remote Sensing

arXiv Mar 8, 2026
Pretraining and fine-tuning have emerged as a new paradigm in remote sensing image interpretation. Among them, Masked Autoencoder (MAE)-based pretraining stands out for its strong capability to learn general feature representations via reconstructing... read more 
Computer Vision and Pattern Recognition

Selective Transfer Learning of Cross-Modality Distillation for Monocular 3D Object Detection

arXiv Mar 8, 2026
Monocular 3D object detection is a promising yet ill-posed task for autonomous vehicles due to the lack of accurate depth information. Cross-modality knowledge distillation could effectively transfer depth information from LiDAR to image-based networ... read more 
Computer Vision and Pattern Recognition

FedEU: Evidential Uncertainty-Driven Federated Fine-Tuning of Vision Foundation Models for Remote Sensing Image Segmentation

arXiv Mar 8, 2026
Remote sensing image segmentation (RSIS) in federated environments has gained increasing attention because it enables collaborative model training across distributed datasets without sharing raw imagery or annotations. Federated RSIS combined with pa... read more 
Computer Vision and Pattern Recognition
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