Artificial Intelligence Medical Compendium

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

Showing 34,081 to 34,090 of 221,510 articles

VLA-InfoEntropy: A Training-Free Vision-Attention Information Entropy Approach for Vision-Language-Action Models Inference Acceleration and Success

arXiv Apr 7, 2026
Vision-Language-Action (VLA) models integrate visual perception, language understanding, and action decision-making for cross-modal semantic alignment, exhibiting broad application potential. However, the joint processing of high-dimensional visual f... read more 
Computer Vision and Pattern Recognition cs.RO

CI-ICM: Channel Importance-driven Learned Image Coding for Machines

arXiv Apr 7, 2026
Traditional human vision-centric image compression methods are suboptimal for machine vision centric compression due to different visual properties and feature characteristics. To address this problem, we propose a Channel Importance-driven learned I... read more 
Image and Video Processing cs.CV cs.MM

AnyImageNav: Any-View Geometry for Precise Last-Meter Image-Goal Navigation

arXiv Apr 7, 2026
Image Goal Navigation (ImageNav) is evaluated by a coarse success criterion, the agent must stop within 1m of the target, which is sufficient for finding objects but falls short for downstream tasks such as grasping that require precise positioning. ... read more 
Robotics cs.CV

Beyond Semantic Search: Towards Referential Anchoring in Composed Image Retrieval

arXiv Apr 7, 2026
Composed Image Retrieval (CIR) has demonstrated significant potential by enabling flexible multimodal queries that combine a reference image and modification text. However, CIR inherently prioritizes semantic matching, struggling to reliably retrieve... read more 
Computer Vision and Pattern Recognition cs.MM

LSGS-Loc: Towards Robust 3DGS-Based Visual Localization for Large-Scale UAV Scenarios

arXiv Apr 7, 2026
Visual localization in large-scale UAV scenarios is a critical capability for autonomous systems, yet it remains challenging due to geometric complexity and environmental variations. While 3D Gaussian Splatting (3DGS) has emerged as a promising scene... read more 
Computer Vision and Pattern Recognition cs.RO

CRISP: Rank-Guided Iterative Squeezing for Robust Medical Image Segmentation under Domain Shift

arXiv Apr 7, 2026
Distribution shift in medical imaging remains a central bottleneck for the clinical translation of medical AI. Failure to address it can lead to severe performance degradation in unseen environments and exacerbate health inequities. Existing methods ... read more 
Computer Vision and Pattern Recognition

Few-Shot Semantic Segmentation Meets SAM3

arXiv Apr 7, 2026
Few-Shot Semantic Segmentation (FSS) focuses on segmenting novel object categories from only a handful of annotated examples. Most existing approaches rely on extensive episodic training to learn transferable representations, which is both computatio... read more 
Computer Vision and Pattern Recognition

Human Interaction-Aware 3D Reconstruction from a Single Image

arXiv Apr 7, 2026
Reconstructing textured 3D human models from a single image is fundamental for AR/VR and digital human applications. However, existing methods mostly focus on single individuals and thus fail in multi-human scenes, where naive composition of individu... read more 
Computer Vision and Pattern Recognition cs.AI

A Synthetic Eye Movement Dataset for Script Reading Detection: Real Trajectory Replay on a 3D Simulator

arXiv Apr 7, 2026
Large vision-language models have achieved remarkable capabilities by training on massive internet-scale data, yet a fundamental asymmetry persists: while LLMs can leverage self-supervised pretraining on abundant text and image data, the same is not ... read more 
Computer Vision and Pattern Recognition

Transcriptomic Models for Immunotherapy Response Prediction Show Limited Cross-cohort Generalisability

arXiv Apr 7, 2026
Immune checkpoint inhibitors (ICIs) have transformed cancer therapy; yet substantial proportion of patients exhibit intrinsic or acquired resistance, making accurate pre-treatment response prediction a critical unmet need. Transcriptomics-based bioma... read more 
Genomics cs.LG
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