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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/vsaase/simpleBAD

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Simple statistical methods for unsupervised brain anomaly detection on MRI are competitive to deep learning methods

https://github.com/wadieskaf/denoising_architecture_time_series_paper

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Denoising Architecture for Unsupervised Anomaly Detection in Time-Series

https://github.com/waimorris/Anomal-E

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Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks

https://github.com/waimorris/E-GraphSAGE

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E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT

https://github.com/wajidarshad/panda

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PANDA: Predicting the change in proteins binding affinity upon mutations using sequence information

https://github.com/wanboyang/anomaly_detection_LAD2000

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Anomaly Detection in Video Sequences: A Benchmark and Computational Model

https://github.com/wangbing1416/hami-m3d

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Harmfully Manipulated Images Matter in Multimodal Misinformation Detection

https://github.com/wanghangpsu/acgan-ada

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Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial Networks

https://github.com/wangkaihong/hadm

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Detecting Human Artifacts from Text-to-Image Models

https://github.com/wangkua1/apd_public

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Adversarial Distillation of Bayesian Neural Network Posteriors

https://github.com/wangle53/anodfdnet

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AnoDFDNet: A Deep Feature Difference Network for Anomaly Detection

https://github.com/wangpeng000/visualinspection

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SCL-VI: Self-supervised Context Learning for Visual Inspection of Industrial Defects

https://github.com/warlmare/dlam

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Combining AI and AM - Improving Approximate Matching through Transformer Networks

https://github.com/warvito/generative_monai

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Generative AI for Medical Imaging: extending the MONAI Framework

https://github.com/wbfwonderful/vad-r1

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Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought

https://github.com/weatherjyh/OIPR

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OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator Interest

https://github.com/wenjiedu/awesome_imputation

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PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series

https://github.com/wenjiedu/brewpots

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PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series

https://github.com/wenweigu/isolate

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Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features

https://github.com/western-oc2-lab/automl-implementation-for-static-and-dynamic-data-analytics

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IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective

https://github.com/western-oc2-lab/evci-pruning

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Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure

https://github.com/western-oc2-lab/pwpae-concept-drift-detection-and-adaptation

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PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams

https://github.com/whb605/gladst

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Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model

https://github.com/whb605/igad-cf

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Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning

https://github.com/wisegamgee/hyperad

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ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line Scanning

https://github.com/wjtan99/bert_anomaly_video_classification

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Overlooked Video Classification in Weakly Supervised Video Anomaly Detection

https://github.com/wogur110/PNI_anomaly_detection

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PNI : Industrial Anomaly Detection using Position and Neighborhood Information

https://github.com/wooboyeong/anomaly-aware-3d-segmentation

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Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative

https://github.com/wownice333/DOHSC-DO2HSC

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Deep Orthogonal Hypersphere Compression for Anomaly Detection

https://github.com/wqlzuel/meatrd

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MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics

https://github.com/wujunde/medsegdiff

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MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model

https://github.com/wyn430/CPAC-CNN

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Tensor decomposition to Compress Convolutional Layers in Deep Learning

https://github.com/wyy-code/MADGA

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Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection

https://github.com/wyzjack/SLA2P

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SLA$^2$P: Self-supervised Anomaly Detection with Adversarial Perturbation

https://github.com/wyzjack/awesome-xad

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Explainable Anomaly Detection in Images and Videos: A Survey

https://github.com/wyzjack/mrmga4vad

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Making Reconstruction-based Method Great Again for Video Anomaly Detection

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