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 3651–3660 of 4856 papers

Title	Date	Tasks	Status	Hype
HRN: A Holistic Approach to One Class Learning	Dec 1, 2020	Anomaly Detectionimage-classification	CodeCode Available	1
Image-based Plant Disease Diagnosis with Unsupervised Anomaly Detection Based on Reconstructability of Colors	Nov 29, 2020	Anomaly DetectionComputational Efficiency	—Unverified	0
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding	Nov 28, 2020	Anomaly DetectionChange Point Detection	CodeCode Available	1
Unsupervised anomaly segmentation via deep feature reconstruction	Nov 26, 2020	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach	Nov 26, 2020	Anomaly Detection	CodeCode Available	1
Simple statistical methods for unsupervised brain anomaly detection on MRI are competitive to deep learning methods	Nov 25, 2020	Anomaly Detection	CodeCode Available	0
Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road	Nov 24, 2020	Anomaly DetectionBayesian Optimisation	—Unverified	0
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection	Nov 24, 2020	Anomaly DetectionClustering	—Unverified	0
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data	Nov 22, 2020	Anomaly DetectionMulti-Label Classification	—Unverified	0
Self-Supervised Transformers for Activity Classification using Ambient Sensors	Nov 22, 2020	Activity RecognitionAnomaly Detection	—Unverified	0

Show:10 25 50

← PrevPage 366 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	UniNet	Detection AUROC	99.9	—	Unverified
5	GLASS	Detection AUROC	99.9	—	Unverified
6	PBAS	Detection AUROC	99.8	—	Unverified
7	HETMM	Detection AUROC	99.8	—	Unverified
8	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
9	DDAD	Detection AUROC	99.8	—	Unverified
10	EfficientAD (early stopping)	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	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
5	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	DDAD	Detection AUROC	98.9	—	Unverified
7	GLASS	Detection AUROC	98.8	—	Unverified
8	DiffusionAD	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