Artificial Intelligence Medical Compendium

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

Showing 9,971 to 9,980 of 208,614 articles

FTibSuite: A Comprehensive Resource Suite for Tibetan Vision-Language Modeling

arXiv May 26, 2026
Vision-language models have progressed rapidly, but Tibetan remains a severely underserved low-resource language due to the lack of reproducible training and evaluation infrastructure. To fill this gap, we introduce FTibSuite, a comprehensive resourc... read more 
Computer Vision and Pattern Recognition cs.DB

Gaussian-Voxel Duet: A Dual-Scaffolding Hybrid Representation for Fast and Accurate Monocular Surface Reconstruction

arXiv May 26, 2026
While 3D Gaussian Splatting has achieved remarkable success in photorealistic novel view synthesis, its pursuit of fast and high-fidelity 3D reconstruction has long been constrained by a trade-off between geometric accuracy and optimization efficienc... read more 
Computer Vision and Pattern Recognition

MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation

arXiv May 26, 2026
Volumetric Reasoning Segmentation (VRS) aims to segment a target region in a 3D medical scan from a free-form clinical query, where the referent is often implicit and requires both medical knowledge and volume-grounded reasoning. Existing methods typ... read more 
Computer Vision and Pattern Recognition cs.AI

DelowlightSplat: Feed-Forward Gaussian Splatting for Lowlight 3D Scene Reconstruction

arXiv May 26, 2026
Novel-view synthesis and 3D reconstruction from sparse posed images are central to robotics and AR/VR. Yet, feed-forward 3D Gaussian reconstruction fails under lowlight due to noise, color shifts, and unreliable correspondence. We propose DelowlightS... read more 
Computer Vision and Pattern Recognition

RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models

arXiv May 26, 2026
Diffusion Transformers (DiT) achieve strong performance in image generation but incur substantial inference costs. While prior work has reduced this cost via quantization and distillation, semi-structured sparsity, which can nearly halve FLOPs, remai... read more 
Machine Learning

JetViT: Efficient High-Resolution Vision Transformer with Post-Training Attention Search

arXiv May 26, 2026
We introduce JetViT, a novel family of hybrid-architecture Vision Transformer (ViT) models that match the accuracy of state-of-the-art full-attention vision foundation models while achieving substantially higher inference efficiency on high-resolutio... read more 
Computer Vision and Pattern Recognition cs.AI

DV-SFT: Direct Vision Supervision for Fine-Grained Visual Understanding

arXiv May 26, 2026
Multimodal large language models are typically trained end-to-end to predict ground-truth answers, yet supervision signals are applied exclusively to text tokens. Visual tokens, the core carriers of visual information, are optimized only implicitly a... read more 
Computer Vision and Pattern Recognition

Memory-Distilled Selection for Noise-Robust Anomaly Detection

arXiv May 26, 2026
Anomaly detection (AD) under data contamination is critical for deploying unsupervised defect detection in industrial environments, where curating perfectly clean training sets is impractical. However, existing methods are sensitive to contamination,... read more 
Computer Vision and Pattern Recognition

PinPoint: Prompting with Informative Interior Points

arXiv May 26, 2026
Modern referring image segmentation pipelines couple a vision-language model (VLM) for grounding with a promptable segmenter such as the Segment Anything Model (SAM) for mask generation. Prior training-free instances of this recipe consistently trail... read more 
Computer Vision and Pattern Recognition cs.CL

Model Merging on Loss Landscape: A Geometry Perspective

arXiv May 26, 2026
Model merging offers a promising avenue for knowledge integration and parallel development without retraining. Yet, existing methods either ignore the geometry of the loss landscape or rely on intractable full-space Hessian approximations. We propose... read more 
Machine Learning cs.AI stat.ML
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