SmallStriker

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Anomaly-Detection

AnomalyDetection-SoftPatch

Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"

AST

This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.

CFA_for_anomaly_localization

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

DistillationAD

Project that regroup the state-of-the-art knowledge distillation approaches for unsupervised anomaly detection

DRAEM

FastRecon

metaformer

MetaFormer Baselines for Vision (TPAMI 2024)

SmallStriker/anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

SmallStriker/Anomaly-Detection

SmallStriker/AnomalyDetection-SoftPatch

Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"

SmallStriker/AST

This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.

SmallStriker/CFA_for_anomaly_localization

SmallStriker/deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

SmallStriker/DistillationAD

Project that regroup the state-of-the-art knowledge distillation approaches for unsupervised anomaly detection

SmallStriker/DRAEM

SmallStriker/FastRecon

SmallStriker/metaformer

MetaFormer Baselines for Vision (TPAMI 2024)

SmallStriker/MetaFormer-first

A PyTorch implementation of "MetaFormer: A Unified Meta Framework for Fine-Grained Recognition". A reference PyTorch implementation of “CoAtNet: Marrying Convolution and Attention for All Data Sizes”

SmallStriker/MVFA-AD-transformer

[CVPR2024 Highlight] Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images

SmallStriker/patchcore-inspection

Towards Total Recall in Industrial Anomaly Detection

SmallStriker/PatchCore_anomaly_detection

Unofficial implementation of PatchCore anomaly detection

SmallStriker/PNI_anomaly_detection

Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"

SmallStriker/RD4AD

Anomaly Detection via Reverse Distillation from One-Class Embedding

SmallStriker/RealNet

Offical implementation of "RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection (CVPR 2024)"

SmallStriker/RememberingNormality

Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"

SmallStriker/universal_manipulation_interface

Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots