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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/esa/AnomalyMatch

AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active Learning

https://github.com/ethanluoyc/pytorch-vae

Auto-Encoding Variational Bayes

https://github.com/etna-team/etna

TS2Vec: Towards Universal Representation of Time Series

https://github.com/ex4sperans/variational-inference-with-normalizing-flows

Glow: Generative Flow with Invertible 1x1 Convolutions

https://github.com/eyalbetzalel/GLOW

Glow: Generative Flow with Invertible 1x1 Convolutions

https://github.com/eyalbetzalel/GLOW2

Glow: Generative Flow with Invertible 1x1 Convolutions

https://github.com/fabianhinder/drift-and-water

Localizing Anomalies in Critical Infrastructure using Model-Based Drift Explanations

https://github.com/facebookresearch/disentangling-correlated-factors

Auto-Encoding Variational Bayes

https://github.com/farazBhatti/DRAEM-Tensoflow

DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection

https://github.com/fastforwardlabs/deepad

Deep Learning for Anomaly Detection: A Survey

https://github.com/feedbackward/addro

Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty

https://github.com/fjchange/object_centric_VAD

Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video

https://github.com/flaviagiammarino/encdec-ad-tensorflow

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

https://github.com/flexible-fl/flex-anomalies

TSFEDL: A Python Library for Time Series Spatio-Temporal Feature Extraction and Prediction using Deep Learning (with Appendices on Detailed Network Architectures and Experimental Cases of Study)

https://github.com/fluque1995/tfm-anomaly-detection

Real-world Anomaly Detection in Surveillance Videos

https://github.com/francesco-borsatti-unipd/exiffi

Enhancing Interpretability and Generalizability in Extended Isolation Forests

https://github.com/fredfung007/cityflow-nl

The 5th AI City Challenge

https://github.com/freedombenLiu/RNN-Time-series-Anomaly-Detection

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

https://github.com/freedombenLiu/ad_examples

Incorporating Feedback into Tree-based Anomaly Detection

https://github.com/freedombenLiu/https-github.com-chickenbestlover-RNN-Time-series-Anomaly-Detection

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

https://github.com/frgsimpson/kitt

https://github.com/ftheberge/Ensemble-Clustering-for-Graphs

Ensemble Clustering for Graphs: Comparisons and Applications

https://github.com/fuchami/ANOGAN

Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

https://github.com/furyhawk/EfficientAD

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies

https://github.com/fyumoto/EIF

Extended Isolation Forest

https://github.com/g4vrel/simple_ml/tree/main/VAE

Auto-Encoding Variational Bayes

https://github.com/gaobb/MetaUAS

MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning

https://github.com/gaozhitong/atta

Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes

https://github.com/gathierry/FastFlow

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

https://github.com/gdwang08/STFPM

Student-Teacher Feature Pyramid Matching for Anomaly Detection

https://github.com/gellston/EfficientAD

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies

https://github.com/gen3111620/DeepWalk

DeepWalk: Online Learning of Social Representations

https://github.com/genimage-dataset/genimage

GenDet: Towards Good Generalizations for AI-Generated Image Detection

https://github.com/gfloto/tilted_prior

Input complexity and out-of-distribution detection with likelihood-based generative models

https://github.com/giridharm0505/SKG

The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain

https://github.com/google-research/google-research/tree/master/tcc

Temporal Cycle-Consistency Learning

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