Anomaly Detection

Anomaly Detection is a binary classification identifying unusual or unexpected patterns in a dataset, which deviate significantly from the majority of the data. The goal of anomaly detection is to identify such anomalies, which could represent errors, fraud, or other types of unusual events, and flag them for further investigation.

[Image source]: GAN-based Anomaly Detection in Imbalance Problems

Papers

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Showing 1101–1125 of 4856 papers

Title	Date	Tasks	Status	Score
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization	Mar 30, 2023	Anomaly DetectionAnomaly Localization	CodeCode Available	5
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties	Oct 31, 2024	Anomaly Detectioncounterfactual	CodeCode Available	5
Implementing Lightweight Intrusion Detection System on Resource Constrained Devices	Oct 28, 2024	Anomaly DetectionIntrusion Detection	CodeCode Available	5
Image-Based Detection of Modifications in Gas Pump PCBs with Deep Convolutional Autoencoders	Sep 30, 2022	Anomaly DetectionAnomaly Segmentation	CodeCode Available	5
Image anomaly detection with capsule networks and imbalanced datasets	Sep 6, 2019	Anomaly Detection	CodeCode Available	5
Image-Pointcloud Fusion based Anomaly Detection using PD-REAL Dataset	Nov 7, 2023	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	5
IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study	Apr 30, 2024	Anomaly DetectionAnomaly Segmentation	CodeCode Available	5
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection	Nov 20, 2023	Anomaly Detection	CodeCode Available	5
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning	Jul 13, 2024	Anomaly DetectionAttribute	CodeCode Available	5
Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection	May 14, 2021	Anomaly Detectionvalid	CodeCode Available	5
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks	Feb 10, 2023	Anomaly Detection	CodeCode Available	5
Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images	Dec 23, 2023	Anomaly DetectionArtifact Detection	CodeCode Available	5
Are We Using Autoencoders in a Wrong Way?	Sep 4, 2023	Anomaly DetectionClassification	CodeCode Available	5
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework	Oct 1, 2017	Anomaly DetectionDiversity	CodeCode Available	5
Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based Approach	Dec 23, 2020	Anomaly DetectionRobot Navigation	CodeCode Available	5
HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks	Oct 2, 2024	Anomaly DetectionGraph Learning	CodeCode Available	5
Hyperedge Anomaly Detection with Hypergraph Neural Network	Dec 7, 2024	Anomaly DetectionLink Prediction	CodeCode Available	5
Hybrid Isolation Forest - Application to Intrusion Detection	May 10, 2017	Anomaly DetectionComputational Efficiency	CodeCode Available	5
Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems	Aug 26, 2020	Anomaly DetectionC++ code	CodeCode Available	5
Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations	Mar 12, 2021	Anomaly DetectionDenoising	CodeCode Available	5
HSS-IAD: A Heterogeneous Same-Sort Industrial Anomaly Detection Dataset	Apr 17, 2025	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	5
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction	Apr 29, 2024	Anomaly DetectionTrajectory Prediction	CodeCode Available	5
Human Kinematics-inspired Skeleton-based Video Anomaly Detection	Sep 27, 2023	Anomaly DetectionVideo Anomaly Detection	CodeCode Available	5
How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms?	Jul 5, 2016	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	5
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring	Jun 15, 2022	Anomaly DetectionDimensionality Reduction	CodeCode Available	5

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All datasets MVTec AD VisA MVTec LOCO AD One-class CIFAR-10 CUHK Avenue ShanghaiTech Fishyscapes L&F UCR Anomaly Archive MPDD BTAD One-class CIFAR-100 UBnormal

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CPR-faster(TensorRT)	FPS	1,016	—	Unverified
2	CPR-fast(TensorRT)	FPS	362	—	Unverified
3	CPR(TensorRT)	FPS	130	—	Unverified
4	GLASS	Detection AUROC	99.9	—	Unverified
5	UniNet	Detection AUROC	99.9	—	Unverified
6	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
7	DDAD	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	PBAS	Detection AUROC	99.8	—	Unverified
10	HETMM	Detection AUROC	99.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniNet	Detection AUROC	99.8	—	Unverified
2	GLAD	Detection AUROC	99.5	—	Unverified
3	UniNet(model-unified multi-class)	Detection AUROC	99.15	—	Unverified
4	DDAD	Detection AUROC	98.9	—	Unverified
5	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
7	DiffusionAD	Detection AUROC	98.8	—	Unverified
8	GLASS	Detection AUROC	98.8	—	Unverified
9	TransFusion	Detection AUROC	98.7	—	Unverified
10	HETMM	Detection AUROC	98.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CSAD	Avg. Detection AUROC	95.3	—	Unverified
2	PSAD	Avg. Detection AUROC	94.9	—	Unverified