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 301–325 of 4856 papers

Title	Date	Tasks	Status	Hype
VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation	Mar 19, 2024	Anomaly Detectionobject-detection	CodeCode Available	1
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection	Mar 18, 2024	Anomaly DetectionDenoising	CodeCode Available	1
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection	Mar 18, 2024	Anomaly DetectionMulti-class Anomaly Detection	CodeCode Available	1
Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and Reasoning	Mar 17, 2024	Anomaly Detection	CodeCode Available	1
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection	Mar 14, 2024	Anomaly DetectionGraph structure learning	CodeCode Available	1
Diffusion Models with Implicit Guidance for Medical Anomaly Detection	Mar 13, 2024	Anomaly DetectionSpecificity	CodeCode Available	1
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images	Mar 13, 2024	AnatomyAnomaly Detection	CodeCode Available	1
GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection	Mar 10, 2024	Anomaly DetectionVideo Anomaly Detection	CodeCode Available	1
Dual-path Frequency Discriminators for Few-shot Anomaly Detection	Mar 7, 2024	Anomaly Detection	CodeCode Available	1
A SAM-guided Two-stream Lightweight Model for Anomaly Detection	Feb 29, 2024	Anomaly DetectionDecoder	CodeCode Available	1
Continuous Memory Representation for Anomaly Detection	Feb 28, 2024	Anomaly Detection	CodeCode Available	1
Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation	Feb 25, 2024	Anomaly DetectionFairness	CodeCode Available	1
PUAD: Frustratingly Simple Method for Robust Anomaly Detection	Feb 23, 2024	Anomaly DetectionOut-of-Distribution Detection	CodeCode Available	1
Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection	Feb 22, 2024	Anomaly DetectionDynamic Time Warping	CodeCode Available	1
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning	Feb 19, 2024	Anomaly DetectionAnomaly Detection in Edge Streams	CodeCode Available	1
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopes	Jan 28, 2024	Anomaly DetectionExplainable artificial intelligence	CodeCode Available	1
UP-CrackNet: Unsupervised Pixel-Wise Road Crack Detection via Adversarial Image Restoration	Jan 28, 2024	Anomaly DetectionCrack Segmentation	CodeCode Available	1
Alleviating Structural Distribution Shift in Graph Anomaly Detection	Jan 25, 2024	Anomaly DetectionBinary Classification	CodeCode Available	1
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection	Jan 24, 2024	Anomaly DetectionOne-Class Classification	CodeCode Available	1
Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources	Jan 22, 2024	Anomaly DetectionAstronomy	CodeCode Available	1
Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry Houses	Jan 22, 2024	Anomaly Detection	CodeCode Available	1
GI-PIP: Do We Require Impractical Auxiliary Dataset for Gradient Inversion Attacks?	Jan 22, 2024	Anomaly DetectionFederated Learning	CodeCode Available	1
PHMD: An easy data access tool for prognosis and health management datasets	Jan 22, 2024	Anomaly DetectionFault Detection	CodeCode Available	1
TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact Supervision	Jan 20, 2024	Anomaly DetectionTime Series	CodeCode Available	1
Towards Universal Unsupervised Anomaly Detection in Medical Imaging	Jan 19, 2024	Anomaly DetectionDiagnostic	CodeCode Available	1

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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	HETMM	Detection AUROC	99.8	—	Unverified
7	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	DDAD	Detection AUROC	99.8	—	Unverified
10	PBAS	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	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
5	DDAD	Detection AUROC	98.9	—	Unverified
6	Dinomaly ViT-L (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