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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/ristea/fast-aed

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Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation

https://github.com/ristea/ssmctb

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Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection

https://github.com/ristea/sspcab

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Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection

https://github.com/ritheshkumar95/energy_based_generative_models

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Maximum Entropy Generators for Energy-Based Models

https://github.com/rithwik-g/astromcad

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A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients

https://github.com/ritmininglab/bn-svp

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Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection

https://github.com/robustml-eurecom/quality_control_CMR

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Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation

https://github.com/roc-ng/var

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Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model

https://github.com/roelbouman/outlierdetection

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Unsupervised anomaly detection algorithms on real-world data: how many do we need?

https://github.com/roelbouman/stormphase2

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Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series Measurements

https://github.com/rohban-lab/cobra

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Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection

https://github.com/rohban-lab/fitymi

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Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection

https://github.com/rohban-lab/patchgaurd

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PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies

https://github.com/rohban-lab/patchguard

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PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies

https://github.com/rohban-lab/tempel-hsc-

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InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection

https://github.com/rohit18115/asvspoof2021_oc_model

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Impact of Channel Variation on One-Class Learning for Spoof Detection

https://github.com/rohit901/VANE-Bench

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VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs

https://github.com/rongrongma/cos-gnn

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Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks

https://github.com/ronniemi/explainAnomaliesUsingSHAP

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Explaining Anomalies Detected by Autoencoders Using SHAP

https://github.com/rootofdata/LSTM-AE_for_Unsupervised_Outlier_Detection

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LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data

https://github.com/rose-stl-lab/anomllm

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Can LLMs Understand Time Series Anomalies?

https://github.com/rosie068/Double_Encoder_CVAE_AD

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Individualized multi-horizon MRI trajectory prediction for Alzheimer's Disease

https://github.com/rskarkare/Robust-Hadamard-Autoencoders

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Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders

https://github.com/rsummers11/mrisegmentator

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MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI

https://github.com/rub-ksv/uncertaintyASR

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Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification

https://github.com/rubiscol/d2ue

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Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection

https://github.com/ruiking04/coca

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Deep Contrastive One-Class Time Series Anomaly Detection

https://github.com/ruiking04/roca

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RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data

https://github.com/ruiyinglu/hvq-trans

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Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection

https://github.com/ryanliu30/fastanomalydetection

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Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder

https://github.com/ryienh/dggen

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A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation

https://github.com/s-ellis/healthy-lungct-gans

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Evaluation of 3D GANs for Lung Tissue Modelling in Pulmonary CT

https://github.com/s-mohammad-hashemi/pppl

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General Domain Adaptation Through Proportional Progressive Pseudo Labeling

https://github.com/saberatalukder/totem

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TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

https://github.com/safe-graph/DGFraud

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Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

https://github.com/sahandha/eif

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Extended Isolation Forest

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