Artificial Intelligence Medical Compendium

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

Showing 1,711 to 1,720 of 213,568 articles

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios

arXiv Jul 16, 2026
Tactile image generation significantly reduces the dependency on expensive and wear-prone sensors by synthesizing high-fidelity tactile data, offering an efficient solution for tactile information acquisition in robotic perception and human-machine i... read more 
Computer Vision and Pattern Recognition cs.RO

On the Disagreement in Perturbation-based xAI -- Benchmarking Perturbation Choices for Flood Detection from SAR Images

arXiv Jul 16, 2026
Perturbation-based xAI methods are widely used to analyze the behavior and predictions of deep learning models. By altering input regions and measuring the resulting changes in class probabilities with respect to the original image, they assign relev... read more 
Computer Vision and Pattern Recognition

Toward Energy-Efficient and Low-Power Arrhythmia Detection for Wearable Devices

arXiv Jul 16, 2026
Cardiovascular diseases are the leading cause of death worldwide, and conditions such as arrhythmia often require long-term monitoring for effective detection and diagnosis. However, current wearable monitoring devices are bulky, uncomfortable, and t... read more 
Hardware Architecture cs.LG cs.NE cs.PF

Clean-Reference Streaming Detection of Lens Occlusion and Photometric Transitions for Camera Tamper Monitoring

arXiv Jul 16, 2026
A surveillance camera is an image sensor whose silent physical degradation invalidates every downstream consumer of its data. In-situ integrity alarms for such vision sensors require low false-alarm rates, bounded computation, and diagnosable behavio... read more 
Computer Vision and Pattern Recognition

Rare Concept Generation via Counterfactual Inference in Diffusion Models

arXiv Jul 16, 2026
Rare concept generation focuses on synthesizing customized images conditioned on text prompts that describe objects with unusual attributes. Previous works failed to align the generated images with rare concepts, resulting in incorrect attribute rend... read more 
Computer Vision and Pattern Recognition

TAMF-VTON: Texture-Aware Mask-Free Virtual Try-On via High-Fidelity Image Synthesis

arXiv Jul 16, 2026
Recent diffusion-based virtual try-on (VTON) methods remain limited by their reliance on segmentation masks, insufficient preservation of fine-grained textures, and limited support for arbitrary multi-garment compositions. Consequently, existing appr... read more 
Computer Vision and Pattern Recognition

Blurring Modal Boundaries: A Unified Survey from Single- to Multi-Modal Person Re-ldentification

arXiv Jul 16, 2026
Person re-identification (ReID) serves as a critical component in intelligent surveillance systems, aiming to match identities across disjoint camera networks. While traditional methods primarily rely on single-modal RGB imagery, they are often const... read more 
Computer Vision and Pattern Recognition

Rotational Motion-Induced Error Compensation for Phase-Shifting Profilometry-Based Eye Reconstruction

arXiv Jul 16, 2026
With the proliferation of immersive Head-Mounted Displays (HMDs) for Virtual and Augmented Reality (VR/AR), reliable and high-precision eye tracking has become increasingly important. Conventional 2D image-based methods offer low system complexity bu... read more 
Computer Vision and Pattern Recognition

Domain Adaptation of Mismatched Proximal Denoiser for Plug-and-Play Image Reconstruction

arXiv Jul 16, 2026
Plug-and-play proximal gradient descent (PnP-PGD) enables flexible image reconstruction by using denoisers as implicit priors. In practice, these denoisers are often deployed outside their training domains. Existing analyses establish convergence und... read more 
Image and Video Processing cs.LG math.OC

Selectivity Drives Efficiency: Dataset Pruning for Visual Place Recognition

arXiv Jul 16, 2026
Recent visual place recognition (VPR) studies have increasingly relied on large-scale datasets to train more robust and discriminative models. Although this trend significantly improves recognition performance, it also introduces substantial storage ... read more 
Computer Vision and Pattern Recognition
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