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Anomaly Detection

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하위 태스크: 28
평가표: 76
보존된 평가 기록: 669

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

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/salesforce/logai

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LogAI: A Library for Log Analytics and Intelligence

https://github.com/salesforce/merlion

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Merlion: A Machine Learning Library for Time Series

https://github.com/sampson-lee/rail-detection

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Rail Detection: An Efficient Row-based Network and A New Benchmark

https://github.com/samuelperezdi/umlcaxs

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Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources

https://github.com/samxmot/RANDGAN

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RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray

https://github.com/samy101/lead-dataset

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LEAD1.0: A Large-scale Annotated Dataset for Energy Anomaly Detection in Commercial Buildings

https://github.com/samzare/PICASO

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PICASO: Permutation-Invariant Cascaded Attentional Set Operator

https://github.com/sandialabs/cldera-e3sm

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Spatio-temporal Multivariate Cluster Evolution Analysis for Detecting and Tracking Climate Impacts

https://github.com/sandy-zeng/pcl

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Towards Effective Image Manipulation Detection with Proposal Contrastive Learning

https://github.com/sanjaylopa22/FANTF

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Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers

https://github.com/sanjaylopa22/QCAAPatchTF

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Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting

https://github.com/santiagosilas/mc-vad-dataset-basedon-pets2009

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A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera Views

https://github.com/sarahmish/m2ad

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M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding

https://github.com/sarahmish/sintel-paper

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Sintel: A Machine Learning Framework to Extract Insights from Signals

https://github.com/sassanmtr/velm

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Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models

https://github.com/sayakpaul/robustness-vit

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Vision Transformers are Robust Learners

https://github.com/scortexio/patchcore-few-shot

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Optimizing PatchCore for Few/many-shot Anomaly Detection

https://github.com/scu-zjz/forensichub

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ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization

https://github.com/scu-zjz/imdlbenco

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IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization

https://github.com/scy-phy/ICS-Evasion-Attacks

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Constrained Concealment Attacks against Reconstruction-based Anomaly Detectors in Industrial Control Systems

https://github.com/sea-lab/hybrid-net

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Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems

https://github.com/sebiwtt/OML-AD

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OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data

https://github.com/selimfirat/addml

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Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization

https://github.com/selimfirat/pysad

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PySAD: A Streaming Anomaly Detection Framework in Python

https://github.com/sensorlab/self-supervised-spectrum-sensing

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Self-supervised Learning for Clustering of Wireless Spectrum Activity

https://github.com/seonho-park/PGN_anomaly_detection

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Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection

https://github.com/sequential-parameter-optimization/spotgui

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Simplifying Hyperparameter Tuning in Online Machine Learning -- The spotRiverGUI

https://github.com/serendipity618/ba-ocad

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Backdoor Attack against One-Class Sequential Anomaly Detection Models

https://github.com/seunghan96/softclt

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Soft Contrastive Learning for Time Series

https://github.com/sevvandi/supplementary_material

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Anomaly detection in dynamic networks

https://github.com/sevvandi/supplementary_material/tree/master/anomalyensembles

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Unsupervised Anomaly Detection Ensembles using Item Response Theory

https://github.com/seyfal/3DCVAE

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Robust Spectral Anomaly Detection in EELS Spectral Images via Three Dimensional Convolutional Variational Autoencoders

https://github.com/sha168/ADNet

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Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels

https://github.com/shahroztariq/adversarial-attacks-on-timeseries

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Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability

https://github.com/shanay-mehta/anomaly-benchmarking

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Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking Study

https://github.com/sharpenb/Uncertainty-Event-Prediction

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Uncertainty on Asynchronous Time Event Prediction

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