anomaly detection

740 papers

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Also known as

IAD UAD AD

Co-occurring keywords

unsupervised learning (3255) out-of-distribution detection (611) self-supervised learning (3751) representation learning (6174) diffusion model (3720) graph neural network (3945) semantic segmentation (3179) generative model (2889) contrastive learning (3979) outlier detection (318)

Papers

Towards Multi-System Log Anomaly Detection ACL 2025

Anomaly Detection of Integrated Circuits Package Substrates Using the Large Vision Model SAIC: Dataset Construction, Methodology, and Application ICCV 2025

HumanSAM: Classifying Human-centric Forgery Videos in Human Spatial, Appearance, and Motion Anomaly ICCV 2025

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection AAAI 2025

Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection AAAI 2025

Bagged Regularized k-Distances for Anomaly Detection JMLR 2025

FE-CLIP: Frequency Enhanced CLIP Model for Zero-Shot Anomaly Detection and Segmentation ICCV 2025

Wave-MambaAD: Wavelet-driven State Space Model for Multi-class Unsupervised Anomaly Detection ICCV 2025

FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks IJCAI 2025

Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models CVPR 2025

Oddballness: universal anomaly detection with language models COLING 2025

Towards Real-World Rumor Detection: Anomaly Detection Framework with Graph Supervised Contrastive Learning COLING 2025

Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies NAACL 2025

Towards Zero-Shot 3D Anomaly Localization WACV 2025

Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models UAI 2025

Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts ICCV 2025

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects CVPR 2025

Single-Layer Distillation with Fourier Convolutions for Texture Anomaly Detection WACV 2025

LogRules: Enhancing Log Analysis Capability of Large Language Models through Rules NAACL 2025

Beyond Pixel Uncertainty: Bounding the OoD Objects in Road Scenes ICCV 2025

Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection CVPR 2025

Kaputt: A Large-Scale Dataset for Visual Defect Detection ICCV 2025

Confront Insider Threat: Precise Anomaly Detection in Behavior Logs Based on LLM Fine-Tuning COLING 2025

RobAVA: A Large-scale Dataset and Baseline Towards Video based Robotic Arm Action Understanding ICCV 2025

LPDetective: Dusting the LLM Chats for Prompt Template Abusers IJCAI 2025