Anomaly Detection

GS-Checker: Tampering Localization for 3D Gaussian Splatting AAAI 2026 GS-CLIP: Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic View Representation Learning CVPR 2026 Hierarchical Point-Patch Fusion with Adaptive Patch Codebook for 3D Shape Anomaly Detection CVPR 2026 Hunting Normality from Query Sample via Residual Learning for Generalist Anomaly Detection CVPR 2026 ICONIC-444: A 3.1-Million-Image Dataset for OOD Detection Research WACV 2026 InTimeAD: Interactive Time Series Anomaly Detection AAAI 2026 InvAD: Inversion-based Reconstruction-Free Anomaly Detection with Diffusion Models CVPR 2026 Joint Learning of General and Diverse Patterns with Mixture of Memory Experts for Weakly-Supervised Video Anomaly Detection CVPR 2026 LayoutAD: Exploring Semantic-Geometric Misalignment Reasoning for Scene Layout Anomaly Detection CVPR 2026 Learning from Noisy Supervision: A Denoising-Debiasing Framework for Weakly Supervised Video Anomaly Detection CVPR 2026 Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation CVPR 2026 MaskAD: Parallel Masked Autoencoder for Multi-class Unsupervised Anomaly Detection AAAI 2026 Medic-AD: Towards Medical Vision-Language Model's Clinical Intelligence CVPR 2026 MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models CVPR 2026 MoECLIP: Patch-Specialized Experts for Zero-shot Anomaly Detection CVPR 2026 Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection AAAI 2026 Multi-Prototype Compactness and Boundary-Aware Synthesis for Unsupervised Anomaly Detection CVPR 2026 ObjectCore - Efficient Few-shot Logical Anomaly Detection using Object Representations WACV 2026 Omni-AD: A Large-scale and Versatile Benchmark for Industrial Anomaly Detection CVPR 2026 One-to-More: High-Fidelity Training-Free Anomaly Generation with Attention Control CVPR 2026 Open-World Deepfake Attribution via Confidence-Aware Asymmetric Learning AAAI 2026 PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection WACV 2026 Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection WACV 2026 Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection AAAI 2026 RAID: Retrieval-Augmented Anomaly Detection CVPR 2026