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

Gibberish is All You Need for Membership Inference Detection in Contrastive Language-Audio Pretraining NAACL 2025

TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection AAAI 2025

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

GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization AAAI 2025

Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey NAACL 2025

MENTOR: Human Perception-Guided Pretraining for Increased Generalization WACV 2025

Howard University - AI4PC at SemEval-2025 Task 3: Logit-based Supervised Token Classification for Multilingual Hallucination Span Identification Using XGBOD SEMEVAL 2025

Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models ACL 2025

Towards Training-free Anomaly Detection with Vision and Language Foundation Models CVPR 2025

Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation WACV 2025

SPACE: SPAtial-Aware Consistency rEgularization for Anomaly Detection in Industrial Applications WACV 2025

Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection AAAI 2025

FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data WACV 2025

UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection CVPR 2025

Benchmarking Out-of-Distribution Detection in Visual Question Answering WACV 2024

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies WACV 2024

Out-of-Distribution Detection with a Single Unconditional Diffusion Model NIPS 2024

Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation WACV 2024

Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components JMLR 2024

Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection CVPR 2024

CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference AISTATS 2024

Topological Analysis for Detecting Anomalies in dependent sequences: application to Time Series JMLR 2024

A New Benchmark and Model for Challenging Image Manipulation Detection AAAI 2024

Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network CVPR 2024

Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection AISTATS 2024