Skip to content
conftrace_

anomaly detection

852 papers

Explore in graph

Also known as

AD

Co-occurring keywords · papers mentioning both

unsupervised learning (104) out-of-distribution detection (63) self-supervised learning (52) representation learning (51) diffusion model (46) graph neural network (42) contrastive learning (41) generative model (41) semantic segmentation (37) few-shot learning (33)

Papers

SPACE: SPAtial-Aware Consistency rEgularization for Anomaly Detection in Industrial Applications WACV 2025 Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models ACL 2025 Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable Defense AAAI 2025 Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection AAAI 2025 Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models ICLR 2025 Tab-Shapley: Identifying Top-k Tabular Data Quality Insights AAAI 2025 TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model CVPR 2025 TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection CVPR 2025 TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection AAAI 2025 Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts CVPR 2025 TimeInf: Time Series Data Contribution via Influence Functions ICLR 2025 Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts ICCV 2025 Towards Multi-System Log Anomaly Detection ACL 2025 Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning ICCV 2025 Towards Real-World Rumor Detection: Anomaly Detection Framework with Graph Supervised Contrastive Learning COLING 2025 Towards Training-free Anomaly Detection with Vision and Language Foundation Models CVPR 2025 Towards Zero-Shot 3D Anomaly Localization WACV 2025 Training-Free Image Manipulation Localization Using Diffusion Models AAAI 2025 Training-Free Industrial Defect Generation with Diffusion Models ICCV 2025 Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection AAAI 2025 UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection CVPR 2025 Unlocking the Potential of Reverse Distillation for Anomaly Detection AAAI 2025 Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization CVPR 2025 Unseen Visual Anomaly Generation CVPR 2025 Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation AAAI 2025