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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/Mjrovai/covid19Xray

Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection

https://github.com/MohammedEltoum/EfficientAD

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies

https://github.com/MoonBlvd/tad-IROS2019-TBD-

Unsupervised Traffic Accident Detection in First-Person Videos

https://github.com/Muyiiiii/WWW25-Grad

https://github.com/NIDQ/Deep-Learning-Approach-for-Surface-Defect-Detection-For-Fun

Segmentation-Based Deep-Learning Approach for Surface-Defect Detection

https://github.com/NISL-MSU/PredictionIntervals

Deep and Confident Prediction for Time Series at Uber

https://github.com/NMADALI97/Learning-With-Wasserstein-Loss

Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

https://github.com/NaChuaN666/UP-CrackNet

UP-CrackNet: Unsupervised Pixel-Wise Road Crack Detection via Adversarial Image Restoration

https://github.com/Naagar/Glow_NormalizingFlow_implimentation

Glow: Generative Flow with Invertible 1x1 Convolutions

https://github.com/NeelKanwal/Quantifying-the-effect-of-color-processing-on-blood-and-damaged-tissue-detection

https://github.com/NicolaBernini/PaperAnalysis_ICLR2021_NegativeDataAugmentation

Negative Data Augmentation

https://github.com/OpenAOI/anodet

PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

https://github.com/OptimusPrimus/dcase2021_task2

ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions

https://github.com/OsvaldN/APS360_Project

Auto-Encoding Variational Bayes

https://github.com/PINTO0309/Keras-OneClassAnomalyDetection

Learning Deep Features for One-Class Classification

https://github.com/PKUZHOU/anomaly_det_cpp

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

https://github.com/PaddlePaddle/PaddleRec/tree/master/models/recall/deepwalk

DeepWalk: Online Learning of Social Representations

https://github.com/PaddlePaddle/PaddleVideo/blob/develop/docs/zh-CN/model_zoo/recognition/timesformer.md

Is Space-Time Attention All You Need for Video Understanding?

https://github.com/Pangoraw/PaDiM

PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

https://github.com/Pangoraw/SemiOrthogonal

Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

https://github.com/PawaritL/BayesianLSTM

Deep and Confident Prediction for Time Series at Uber

https://github.com/PeterKim1/paper_code_review/tree/master/11.%20PaDiM

PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

https://github.com/PeterWang512/FALdetector

Detecting Photoshopped Faces by Scripting Photoshop

https://github.com/Podidiving/lgsc-for-fas-pytorch

Learning Generalized Spoof Cues for Face Anti-spoofing

https://github.com/PyLink88/RecAE

LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

https://github.com/QWERTSKIHACK/network-threats-taxonomy

A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection Systems

https://github.com/Rajlaxmi04/Network-Traffic-Anomaly-Detection-using-PCA-and-BiGAN

Efficient GAN-Based Anomaly Detection

https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection

Learning Generalized Spoof Cues for Face Anti-spoofing

https://github.com/Recognito-Vision/Linux-FaceRecognition-FaceLivenessDetection

Anomaly Detection-Based Unknown Face Presentation Attack Detection

https://github.com/RintaroKanada/efficient-gan-chainer

Efficient GAN-Based Anomaly Detection

https://github.com/RistoranteRist/FastFlow

FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows

https://github.com/RizwanAliQau/tasad

https://github.com/RoboticsDesignLab/jitterbug

Auto-Encoding Variational Bayes

https://github.com/Robotmurlock/Deepwalk-and-Node2vec

DeepWalk: Online Learning of Social Representations

https://github.com/Robotmurlock/VariationalAutoEncoder

Auto-Encoding Variational Bayes

https://github.com/Roc-Ng/DeepMIL

Real-world Anomaly Detection in Surveillance Videos

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