anomaly detection

Denoise, Divide, Distill, and Predict (D3P): Towards Forecasting Long-horizon Real-world Anomaly from Normalcy WACV 2026 D-GARA: A Dynamic Benchmarking Framework for GUI Agent Robustness in Real-World Anomalies AAAI 2026 DOODLE: Diffusion-based Out-of-Distribution Learning for Open-set LiDAR Semantic Segmentation WACV 2026 Dual-Prototype-Guided Multi-task Learning for Unsupervised Anomaly Detection and Classification CVPR 2026 DySy-Det: A Synergistic Framework with Dynamic Reconstruction-Path Consistency for AI-Generated Image Detection AAAI 2026 EARG-Net: Edge-Aware Reconstruction-Guided Network for Image Manipulation Detection and Localization AAAI 2026 EFIQA: Explainable Fundus Image Quality Assessment via Anatomical Priors MIDL 2026 Enhancing Reverse Distillation with Core Exemplar Learning for Unified Multi-Class Anomaly Detection WACV 2026 Enhancing Two Steps Textual Anomaly Detection through Anisotropy Mitigation ACL 2026 Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection ACL 2026 Exploring Domain Generalization and Subpopulation Shift for Generalizable Graph-Level Anomaly Detection AAAI 2026 FB-CLIP: Fine-Grained Zero-Shot Anomaly Detection with Foreground-Background Disentanglement CVPR 2026 Finding Time Series Anomalies Using Granular-Ball Vector Data Description AAAI 2026 FineVAU: A Novel Human-Aligned Benchmark for Fine-Grained Video Anomaly Understanding AAAI 2026 FLARE: Anomaly Diagnostics for Divergent LLM Training in GPU Clusters of Thousand-Plus Scale NSDI 2026 FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs AAAI 2026 Generalized Category Discovery for LiDAR Semantic Segmentation WACV 2026 GPFlow: Gaussian Prototype Probability Flow for Unsupervised Multi-Modal Anomaly Detection CVPR 2026 Hunting Normality from Query Sample via Residual Learning for Generalist Anomaly Detection CVPR 2026 ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models AAAI 2026 ICONIC-444: A 3.1-Million-Image Dataset for OOD Detection Research WACV 2026 InvAD: Inversion-based Reconstruction-Free Anomaly Detection with Diffusion Models CVPR 2026 Learning Latent Concepts for Detecting Out-of-Distribution Objects CVPR 2026 Learning Whom to Align With: Progressive Anomaly Combination Detection for Partially View-Aligned Clustering AAAI 2026 Medic-AD: Towards Medical Vision-Language Model's Clinical Intelligence CVPR 2026