Artificial Intelligence Medical Compendium

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

Showing 56,591 to 56,600 of 226,846 articles

WheelArm-Sim: A Manipulation and Navigation Combined Multimodal Synthetic Data Generation Simulator for Unified Control in Assistive Robotics

arXiv Jan 29, 2026
Wheelchairs and robotic arms enhance independent living by assisting individuals with upper-body and mobility limitations in their activities of daily living (ADLs). Although recent advancements in assistive robotics have focused on Wheelchair-Mounte... read more 
Robotics

Bidirectional Cross-Perception for Open-Vocabulary Semantic Segmentation in Remote Sensing Imagery

arXiv Jan 29, 2026
High-resolution remote sensing imagery is characterized by densely distributed land-cover objects and complex boundaries, which places higher demands on both geometric localization and semantic prediction. Existing training-free open-vocabulary seman... read more 
Computer Vision and Pattern Recognition

InspecSafe-V1: A Multimodal Benchmark for Safety Assessment in Industrial Inspection Scenarios

arXiv Jan 29, 2026
With the rapid development of industrial intelligence and unmanned inspection, reliable perception and safety assessment for AI systems in complex and dynamic industrial sites has become a key bottleneck for deploying predictive maintenance and auton... read more 
Robotics cs.CV

Enhancing Underwater Light Field Images via Global Geometry-aware Diffusion Process

arXiv Jan 29, 2026
This work studies the challenging problem of acquiring high-quality underwater images via 4-D light field (LF) imaging. To this end, we propose GeoDiff-LF, a novel diffusion-based framework built upon SD-Turbo to enhance underwater 4-D LF imaging by ... read more 
Computer Vision and Pattern Recognition

LAMP: Learning Universal Adversarial Perturbations for Multi-Image Tasks via Pre-trained Models

arXiv Jan 29, 2026
Multimodal Large Language Models (MLLMs) have achieved remarkable performance across vision-language tasks. Recent advancements allow these models to process multiple images as inputs. However, the vulnerabilities of multi-image MLLMs remain unexplor... read more 
Computer Vision and Pattern Recognition

NFCDS: A Plug-and-Play Noise Frequency-Controlled Diffusion Sampling Strategy for Image Restoration

arXiv Jan 29, 2026
Diffusion sampling-based Plug-and-Play (PnP) methods produce images with high perceptual quality but often suffer from reduced data fidelity, primarily due to the noise introduced during reverse diffusion. To address this trade-off, we propose Noise ... read more 
Computer Vision and Pattern Recognition

Lossless Copyright Protection via Intrinsic Model Fingerprinting

arXiv Jan 29, 2026
The exceptional performance of diffusion models establishes them as high-value intellectual property but exposes them to unauthorized replication. Existing protection methods either modify the model to embed watermarks, which impairs performance, or ... read more 
Cryptography and Security cs.CV

GeoRC: A Benchmark for Geolocation Reasoning Chains

arXiv Jan 29, 2026
Vision Language Models (VLMs) are good at recognizing the global location of a photograph -- their geolocation prediction accuracy rivals the best human experts. But many VLMs are startlingly bad at explaining which image evidence led to their predic... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL cs.LG

Token Entropy Regularization for Multi-modal Antenna Affiliation Identification

arXiv Jan 29, 2026
Accurate antenna affiliation identification is crucial for optimizing and maintaining communication networks. Current practice, however, relies on the cumbersome and error-prone process of manual tower inspections. We propose a novel paradigm shift t... read more 
Computer Vision and Pattern Recognition

Token Entropy Regularization for Multi-modal Antenna Affiliation Identification

arXiv Jan 29, 2026
Accurate antenna affiliation identification is crucial for optimizing and maintaining communication networks. Current practice, however, relies on the cumbersome and error-prone process of manual tower inspections. We propose a novel paradigm shift t... read more 
Computer Vision and Pattern Recognition
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