Artificial Intelligence Medical Compendium

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

Showing 62,961 to 62,970 of 230,760 articles

OpenNavMap: Structure-Free Topometric Mapping via Large-Scale Collaborative Localization

arXiv Jan 18, 2026
Scalable and maintainable map representations are fundamental to enabling large-scale visual navigation and facilitating the deployment of robots in real-world environments. While collaborative localization across multi-session mapping enhances effic... read more 
Robotics cs.CV

Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations

arXiv Jan 18, 2026
Deep learning has achieved remarkable success in image recognition, yet their inherent opacity poses challenges for deployment in critical domains. Concept-based interpretations aim to address this by explaining model reasoning through human-understa... read more 
Computer Vision and Pattern Recognition

A Two-Stage Globally-Diverse Adversarial Attack for Vision-Language Pre-training Models

arXiv Jan 18, 2026
Vision-language pre-training (VLP) models are vulnerable to adversarial examples, particularly in black-box scenarios. Existing multimodal attacks often suffer from limited perturbation diversity and unstable multi-stage pipelines. To address these c... read more 
Computer Vision and Pattern Recognition cs.AI

Adaptive Multi-Scale Correlation Meta-Network for Few-Shot Remote Sensing Image Classification

arXiv Jan 18, 2026
Few-shot learning in remote sensing remains challenging due to three factors: the scarcity of labeled data, substantial domain shifts, and the multi-scale nature of geospatial objects. To address these issues, we introduce Adaptive Multi-Scale Correl... read more 
Computer Vision and Pattern Recognition cs.LG

CurConMix+: A Unified Spatio-Temporal Framework for Hierarchical Surgical Workflow Understanding

arXiv Jan 18, 2026
Surgical action triplet recognition aims to understand fine-grained surgical behaviors by modeling the interactions among instruments, actions, and anatomical targets. Despite its clinical importance for workflow analysis and skill assessment, progre... read more 
Computer Vision and Pattern Recognition

EmoKGEdit: Training-free Affective Injection via Visual Cue Transformation

arXiv Jan 18, 2026
Existing image emotion editing methods struggle to disentangle emotional cues from latent content representations, often yielding weak emotional expression and distorted visual structures. To bridge this gap, we propose EmoKGEdit, a novel training-fr... read more 
Computer Vision and Pattern Recognition

FlowIID: Single-Step Intrinsic Image Decomposition via Latent Flow Matching

arXiv Jan 18, 2026
Intrinsic Image Decomposition (IID) separates an image into albedo and shading components. It is a core step in many real-world applications, such as relighting and material editing. Existing IID models achieve good results, but often use a large num... read more 
Computer Vision and Pattern Recognition

IceWatch: Forecasting Glacial Lake Outburst Floods (GLOFs) using Multimodal Deep Learning

arXiv Jan 18, 2026
Glacial Lake Outburst Floods (GLOFs) pose a serious threat in high mountain regions. They are hazardous to communities, infrastructure, and ecosystems further downstream. The classical methods of GLOF detection and prediction have so far mainly relie... read more 
Machine Learning cs.AI

Turbo-GoDec: Exploiting the Cluster Sparsity Prior for Hyperspectral Anomaly Detection

arXiv Jan 18, 2026
As a key task in hyperspectral image processing, hyperspectral anomaly detection has garnered significant attention and undergone extensive research. Existing methods primarily relt on two prior assumption: low-rank background and sparse anomaly, alo... read more 
Computer Vision and Pattern Recognition

MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents

arXiv Jan 18, 2026
Deep Research Agents (DRAs) generate citation-rich reports via multi-step search and synthesis, yet existing benchmarks mainly target text-only settings or short-form multimodal QA, missing end-to-end multimodal evidence use. We introduce MMDeepResea... read more 
Computer Vision and Pattern Recognition
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