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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 3741–3750 of 4856 papers

Title	Date	Tasks	Status	Hype
Unsupervised Region-based Anomaly Detection in Brain MRI with Adversarial Image Inpainting	Oct 5, 2020	Anomaly DetectionBrain Tumor Segmentation	—Unverified	0
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series	Oct 4, 2020	Anomaly DetectionClustering	—Unverified	0
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks	Sep 30, 2020	Anomaly DetectionIntrusion Detection	CodeCode Available	0
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach	Sep 30, 2020	Anomaly DetectionContrastive Learning	CodeCode Available	1
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress	Sep 29, 2020	Anomaly DetectionTime Series	CodeCode Available	1
A comparison of classical and variational autoencoders for anomaly detection	Sep 29, 2020	Anomaly Detection	—Unverified	0
A Survey on Deep Learning Techniques for Video Anomaly Detection	Sep 29, 2020	Anomaly DetectionDeep Learning	—Unverified	0
Anomaly Detection and Sampling Cost Control via Hierarchical GANs	Sep 28, 2020	Anomaly DetectionTime Series Analysis	—Unverified	0
STAN: Synthetic Network Traffic Generation with Generative Neural Models	Sep 27, 2020	Anomaly Detection	CodeCode Available	0
Deep Autoencoding GMM-based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-parameter Optimization	Sep 25, 2020	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified	0

Show:10 25 50

← PrevPage 375 of 486Next →

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