Computer Vision › Analysis ›

Anomaly Detection

907 directly classified papers

Papers per year

Papers

Unlocking Vision-Language Models for Video Anomaly Detection via Fine-Grained Prompting WACV 2026

AnomalyPainter: Vision-Language-Diffusion Synergy for Realistic and Diverse Unseen Industrial Anomaly Synthesis AAAI 2026

Fused Similarity Measure Based Alignment with Dual-Scale Adaptive Selection for Weakly Supervised Video Anomaly Detection WACV 2026

PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection WACV 2026

Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach AAAI 2026

VAGU & GtS: LLM-Based Benchmark and Framework for Joint Video Anomaly Grounding and Understanding AAAI 2026

DMS2F-HAD: A Dual-branch Mamba-based Spatial-Spectral Fusion Network for Hyperspectral Anomaly Detection WACV 2026

Can Image Splicing and Copy-Move Forgery Be Detected by the Same Model? Forensim: An Attention-Based State-Space Approach WACV 2026

AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM WACV 2026

Unified Video Anomaly Detection Model for Detecting Different Anomaly Types WACV 2026

Dual-Branch Asymmetric Discrepancy Learning Based on Fake Image Pattern-Coexistence for AI-Generated Image Detection AAAI 2026

Frequency Mining Empowered by Text Aggregation: A New Perspective on Document Image Tampering Detection AAAI 2026

Unsupervised Multi-View Visual Anomaly Detection via Progressive Homography-Guided Alignment AAAI 2026

Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial Defects AAAI 2026

DOODLE: Diffusion-based Out-of-Distribution Learning for Open-set LiDAR Semantic Segmentation WACV 2026

VLMDiff: Leveraging Vision-Language Models for Multi-Class Anomaly Detection with Diffusion WACV 2026

CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles WACV 2026

Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection WACV 2026

Sea-CLIP: Mining Semantic-Aware Representations for Few-Shot Anomaly Detection with CLIP WACV 2026

ART-ASyn: Anatomy-aware Realistic Texture-based Anomaly Synthesis Framework for Chest X-Rays WACV 2026

Enhancing Reverse Distillation with Core Exemplar Learning for Unified Multi-Class Anomaly Detection WACV 2026

Denoise, Divide, Distill, and Predict (D3P): Towards Forecasting Long-horizon Real-world Anomaly from Normalcy WACV 2026

ICONIC-444: A 3.1-Million-Image Dataset for OOD Detection Research WACV 2026

ObjectCore - Efficient Few-shot Logical Anomaly Detection using Object Representations WACV 2026

RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection AAAI 2026