Papers with Code 아카이브

Anomaly Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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/Scientific-Computing-Lab-NRCN/MLography

공식 코드

An End-to-End Computer Vision Methodology for Quantitative Metallography

https://github.com/SebastiaanHoppner/robROSE

공식 코드

robROSE: A robust approach for dealing with imbalanced data in fraud detection

https://github.com/SenseCore/transom-checkpoint-engine

공식 코드

TRANSOM: An Efficient Fault-Tolerant System for Training LLMs

https://github.com/ShangtongZhang/DeepRL

공식 코드

Learning Retrospective Knowledge with Reverse Reinforcement Learning

https://github.com/ShengzheXu/stan

공식 코드

STAN: Synthetic Network Traffic Generation with Generative Neural Models

https://github.com/SimonThomine/CSE

공식 코드

CSE: Surface Anomaly Detection with Contrastively Selected Embedding

https://github.com/SimonThomine/DBFAD

공식 코드

Distillation-based fabric anomaly detection

https://github.com/SimonThomine/FABLE

공식 코드

FABLE : Fabric Anomaly Detection Automation Process

https://github.com/SimonThomine/MixedTeacher

공식 코드

MixedTeacher : Knowledge Distillation for fast inference textural anomaly detection

https://github.com/SkiddieAhn/Paper-AnyAnomaly

공식 코드

AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM

https://github.com/SkiddieAhn/Paper-VideoPatchCore

공식 코드

VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection

https://github.com/SkyShunsuke/InversionAD

공식 코드

Reconstruction-Free Anomaly Detection with Diffusion Models via Direct Latent Likelihood Evaluation

https://github.com/Smart-Agri-DIAG/sdg4ad

공식 코드

Synthetic Data Generation for Anomaly Detection on Table Grapes

https://github.com/Soldelli/gait_anomaly_detection

공식 코드

Seq2Seq RNN based Gait Anomaly Detection from Smartphone Acquired Multimodal Motion Data

https://github.com/StefanDenn3r/Unsupervised_Anomaly_Detection_Brain_MRI

공식 코드

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

https://github.com/StevenDillmann/ml-xraytransients-mnras

공식 코드

Representation Learning for Time-Domain High-Energy Astrophysics: Discovery of Extragalactic Fast X-ray Transient XRT 200515

https://github.com/Stream-AD/AnoGraph

공식 코드

Sketch-Based Anomaly Detection in Streaming Graphs

https://github.com/Stream-AD/MIDAS

공식 코드

Real-Time Anomaly Detection in Edge Streams

https://github.com/Stream-AD/MStream

공식 코드

MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams

https://github.com/Stream-AD/MemStream

공식 코드

MemStream: Memory-Based Streaming Anomaly Detection

https://github.com/SubsetSelection/EquiVSet

공식 코드

Learning Neural Set Functions Under the Optimal Subset Oracle

https://github.com/Taeseong-Han/ECGNoiseQuantification

공식 코드

Diffusion-Based Electrocardiography Noise Quantification via Anomaly Detection

https://github.com/TencentYoutuResearch/AnomalyDetection-SoftPatch

공식 코드

SoftPatch: Unsupervised Anomaly Detection with Noisy Data

https://github.com/Tokichan/CSAD

공식 코드

CSAD: Unsupervised Component Segmentation for Logical Anomaly Detection

https://github.com/TrustworthyGNN/MEA-GNN

공식 코드

Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization

https://github.com/Tzoulio/Large_Models_Dialogue_for_Active_Perception

공식 코드

Large Models in Dialogue for Active Perception and Anomaly Detection

https://github.com/UCL-CCS/PEQAD

공식 코드

A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum Processor

https://github.com/VICO-UoE/OddOneOutAD

공식 코드

Odd-One-Out: Anomaly Detection by Comparing with Neighbors

https://github.com/VMBoehm/PAE

공식 코드

Probabilistic Autoencoder

https://github.com/Valentyn1997/xray

공식 코드

Unsupervised Anomaly Detection for X-Ray Images

https://github.com/Vanint/OA3

공식 코드

Online Adaptive Asymmetric Active Learning with Limited Budgets

https://github.com/WangXuhongCN/OCGNN

공식 코드

One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks

https://github.com/WangXuhongCN/adVAE

공식 코드

adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection

https://github.com/WenjieDu/PyGrinder

공식 코드

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

https://github.com/WenjieDu/PyPOTS

공식 코드

Are Transformers Effective for Time Series Forecasting?

https://github.com/WenjieDu/TSDB

공식 코드

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

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