Artificial Intelligence Medical Compendium

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

Showing 52,981 to 52,990 of 225,341 articles

Robust Pedestrian Detection with Uncertain Modality

arXiv Feb 6, 2026
Existing cross-modal pedestrian detection (CMPD) employs complementary information from RGB and thermal-infrared (TIR) modalities to detect pedestrians in 24h-surveillance systems.RGB captures rich pedestrian details under daylight, while TIR excels ... read more 
Computer Vision and Pattern Recognition

Revisiting Salient Object Detection from an Observer-Centric Perspective

arXiv Feb 6, 2026
Salient object detection is inherently a subjective problem, as observers with different priors may perceive different objects as salient. However, existing methods predominantly formulate it as an objective prediction task with a single groundtruth ... read more 
Computer Vision and Pattern Recognition cs.AI

MeDocVL: A Visual Language Model for Medical Document Understanding and Parsing

arXiv Feb 6, 2026
Medical document OCR is challenging due to complex layouts, domain-specific terminology, and noisy annotations, while requiring strict field-level exact matching. Existing OCR systems and general-purpose vision-language models often fail to reliably ... read more 
Computer Vision and Pattern Recognition

A neuromorphic model of the insect visual system for natural image processing

arXiv Feb 6, 2026
Insect vision supports complex behaviors including associative learning, navigation, and object detection, and has long motivated computational models for understanding biological visual processing. However, many contemporary models prioritize task p... read more 
Computer Vision and Pattern Recognition cs.NE

Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO

arXiv Feb 6, 2026
Deploying GRPO on Flow Matching models has proven effective for text-to-image generation. However, existing paradigms typically propagate an outcome-based reward to all preceding denoising steps without distinguishing the local effect of each step. M... read more 
Computer Vision and Pattern Recognition

POPL-KF: A Pose-Only Geometric Representation-Based Kalman Filter for Point-Line-Based Visual-Inertial Odometry

arXiv Feb 6, 2026
Mainstream Visual-inertial odometry (VIO) systems rely on point features for motion estimation and localization. However, their performance degrades in challenging scenarios. Moreover, the localization accuracy of multi-state constraint Kalman filte... read more 
Computer Vision and Pattern Recognition

Bridging the Indoor-Outdoor Gap: Vision-Centric Instruction-Guided Embodied Navigation for the Last Meters

arXiv Feb 6, 2026
Embodied navigation holds significant promise for real-world applications such as last-mile delivery. However, most existing approaches are confined to either indoor or outdoor environments and rely heavily on strong assumptions, such as access to pr... read more 
Computer Vision and Pattern Recognition cs.RO

ChatUMM: Robust Context Tracking for Conversational Interleaved Generation

arXiv Feb 6, 2026
Unified multimodal models (UMMs) have achieved remarkable progress yet remain constrained by a single-turn interaction paradigm, effectively functioning as solvers for independent requests rather than assistants in continuous dialogue. To bridge this... read more 
Computer Vision and Pattern Recognition

Exploring Specular Reflection Inconsistency for Generalizable Face Forgery Detection

arXiv Feb 6, 2026
Detecting deepfakes has become increasingly challenging as forgery faces synthesized by AI-generated methods, particularly diffusion models, achieve unprecedented quality and resolution. Existing forgery detection approaches relying on spatial and fr... read more 
Computer Vision and Pattern Recognition

Rebenchmarking Unsupervised Monocular 3D Occupancy Prediction

arXiv Feb 6, 2026
Inferring the 3D structure from a single image, particularly in occluded regions, remains a fundamental yet unsolved challenge in vision-centric autonomous driving. Existing unsupervised approaches typically train a neural radiance field and treat th... read more 
Computer Vision and Pattern Recognition
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