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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

Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation WACV 2025
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios CVPR 2025
DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection WACV 2025
FE-CLIP: Frequency Enhanced CLIP Model for Zero-Shot Anomaly Detection and Segmentation ICCV 2025
SPACE: SPAtial-Aware Consistency rEgularization for Anomaly Detection in Industrial Applications WACV 2025
Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet WACV 2025
MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning ICCV 2025
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data WACV 2025
MENTOR: Human Perception-Guided Pretraining for Increased Generalization WACV 2025
One-for-More: Continual Diffusion Model for Anomaly Detection CVPR 2025
Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts CVPR 2025
OralXrays-9: Towards Hospital-Scale Panoramic X-ray Anomaly Detection via Personalized Multi-Object Query-Aware Mining CVPR 2025
AnomalyDINO: Boosting Patch-Based Few-Shot Anomaly Detection with DINOv2 WACV 2025
Anomaly Detection for People with Visual Impairments using an Egocentric 360-Degree Camera WACV 2025
Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation AAAI 2025
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights AAAI 2025
FIND: Few-Shot Anomaly Inspection with Normal-Only Multi-Modal Data ICCV 2025
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection AAAI 2025
Wave-MambaAD: Wavelet-driven State Space Model for Multi-class Unsupervised Anomaly Detection ICCV 2025
SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning ICCV 2025
Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection ICCV 2025
Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection AAAI 2025
Howard University - AI4PC at SemEval-2025 Task 3: Logit-based Supervised Token Classification for Multilingual Hallucination Span Identification Using XGBOD ACL 2025
Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space AAAI 2025
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection AAAI 2025