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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/missinghwan/mgad

공식 코드

Label-based Graph Augmentation with Metapath for Graph Anomaly Detection

https://github.com/mizvol/WikiBrain

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Anomaly detection in the dynamics of web and social networks

https://github.com/mjkwon2021/cat-net

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Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization

https://github.com/ml-hdu/lbl_lblsig

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LBL: Logarithmic Barrier Loss Function for One-class Classification

https://github.com/ml-kuleuven/dtaianomaly

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dtaianomaly: A Python library for time series anomaly detection

https://github.com/ml4its/timevqvae-anomalydetection

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Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling

https://github.com/mlcommons/tiny

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MLPerf Tiny Benchmark

https://github.com/mlcommons/tiny_results_v0.5

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MLPerf Tiny Benchmark

https://github.com/mlcommons/tiny_results_v0.7/tree/main/open/hls4ml-finn

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Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark

https://github.com/mllm-ts/visualtimeanomaly

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Can Multimodal LLMs Perform Time Series Anomaly Detection?

https://github.com/mmasana/OoD_Mining

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Metric Learning for Novelty and Anomaly Detection

https://github.com/mnecipkurt/pami20

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Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings

https://github.com/molu-ggg/genet

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A brief introduction to a framework named Multilevel Guidance-Exploration Network

https://github.com/momalab/icsml

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ICSML: Industrial Control Systems ML Framework for native inference using IEC 61131-3 code

https://github.com/monjurulkarim/rol_dataset

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An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving Videos

https://github.com/mononitogoswami/tsad-model-selection

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Unsupervised Model Selection for Time-series Anomaly Detection

https://github.com/mooselab/suppmaterial-CfgTransAnomalyDetector

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What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach

https://github.com/mooselab/suppmaterial-logrepforanomalydetection

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On the Effectiveness of Log Representation for Log-based Anomaly Detection

https://github.com/mperezcarrasco/AnomalyALeRCE

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Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories

https://github.com/mrgiovanni/simsid

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Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images

https://github.com/msi-ru-cs/icse-seip2025-anomaly-detector-public

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Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset

https://github.com/mstrutov/desbordante

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Solving Data Quality Problems with Desbordante: a Demo

https://github.com/mtailanian/uflow

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U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold

https://github.com/mtanveer1/OCRKM

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One Class Restricted Kernel Machines

https://github.com/mtec-tuhh/self-supervised-paranasal-anomaly

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Self-supervised learning for classifying paranasal anomalies in the maxillary sinus

https://github.com/muleina/la3d

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Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy vs. Performance

https://github.com/mwalmsley/zoobot

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Practical Galaxy Morphology Tools from Deep Supervised Representation Learning

https://github.com/mwxinnn/aa-clip

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AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP

https://github.com/mwxinnn/unias

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Towards Accurate Unified Anomaly Segmentation

https://github.com/mxtsai/ransac-nn

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Image Outlier Detection Without Training using RANSAC

https://github.com/mylearncodespace/adaptive-nad

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Adaptive NAD: Online and Self-adaptive Unsupervised Network Anomaly Detector

https://github.com/myzhao1999/lgn-net

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LGN-Net: Local-Global Normality Network for Video Anomaly Detection

https://github.com/mzmmsec/aigfd_exif

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Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies

https://github.com/nabavilab/ufcn

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Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms

https://github.com/natasasdj/anomalyDetection

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Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder

https://github.com/navidfoumani/convtran

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Improving Position Encoding of Transformers for Multivariate Time Series Classification

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.