Artificial Intelligence Medical Compendium

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

Showing 40,511 to 40,520 of 223,737 articles

CrowdGaussian: Reconstructing High-Fidelity 3D Gaussians for Human Crowd from a Single Image

arXiv Mar 18, 2026
Single-view 3D human reconstruction has garnered significant attention in recent years. Despite numerous advancements, prior research has concentrated on reconstructing 3D models from clear, close-up images of individual subjects, often yielding subp... read more 
Computer Vision and Pattern Recognition

Exploring parameter-efficient fine-tuning (PEFT) of billion-parameter vision models with QLoRA and DoRA: insights into generalization for limited-data image classification under a 98:1 test-to-train regime

arXiv Mar 18, 2026
Automated behavior classification is essential for precision livestock farming but faces challenges of high computational costs and limited labeled data. This study systematically compared three approaches: training from scratch (ResNet-18, ViT-Small... read more 
Computer Vision and Pattern Recognition

ResNet-50 with Class Reweighting and Anatomy-Guided Temporal Decoding for Gastrointestinal Video Analysis

arXiv Mar 18, 2026
We developed a multi-label gastrointestinal video analysis pipeline based on a ResNet-50 frame classifier followed by anatomy-guided temporal event decoding. The system predicts 17 labels, including 5 anatomy classes and 12 pathology classes, from fr... read more 
Computer Vision and Pattern Recognition cs.LG

M2P: Improving Visual Foundation Models with Mask-to-Point Weakly-Supervised Learning for Dense Point Tracking

arXiv Mar 18, 2026
Tracking Any Point (TAP) has emerged as a fundamental tool for video understanding. Current approaches adapt Vision Foundation Models (VFMs) like DINOv2 via offline finetuning or test-time optimization. However, these VFMs rely on static image pre-tr... read more 
Computer Vision and Pattern Recognition

TINA: Text-Free Inversion Attack for Unlearned Text-to-Image Diffusion Models

arXiv Mar 18, 2026
Although text-to-image diffusion models exhibit remarkable generative power, concept erasure techniques are essential for their safe deployment to prevent the creation of harmful content. This has fostered a dynamic interplay between the development ... read more 
Computer Vision and Pattern Recognition

Video Understanding: From Geometry and Semantics to Unified Models

arXiv Mar 18, 2026
Video understanding aims to enable models to perceive, reason about, and interact with the dynamic visual world. In contrast to image understanding, video understanding inherently requires modeling temporal dynamics and evolving visual context, placi... read more 
Computer Vision and Pattern Recognition

Revisiting foundation models for cell instance segmentation

arXiv Mar 18, 2026
Cell segmentation is a fundamental task in microscopy image analysis. Several foundation models for cell segmentation have been introduced, virtually all of them are extensions of Segment Anything Model (SAM), improving it for microscopy data. Recent... read more 
Computer Vision and Pattern Recognition

Procedural Generation of Algorithm Discovery Tasks in Machine Learning

arXiv Mar 18, 2026
Automating the development of machine learning algorithms has the potential to unlock new breakthroughs. However, our ability to improve and evaluate algorithm discovery systems has thus far been limited by existing task suites. They suffer from many... read more 
Machine Learning cs.AI

Edit Spillover as a Probe: Do Image Editing Models Implicitly Understand World Relations?

arXiv Mar 18, 2026
Instruction-following image editing models are expected to modify only the specified region while keeping the rest of the image unchanged. However, in practice, we observe a pervasive phenomenon -- edit spillover: models alter semantically related bu... read more 
Computer Vision and Pattern Recognition

Differential Attention-Augmented BiomedCLIP with Asymmetric Focal Optimization for Imbalanced Multi-Label Video Capsule Endoscopy Classification

arXiv Mar 18, 2026
This work presents a multi-label classification framework for video capsule endoscopy (VCE) that addresses the extreme class imbalance inherent in the Galar dataset through a combination of architectural and optimization-level strategies. Our approac... read more 
Computer Vision and Pattern Recognition cs.AI
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