unoffical and work in progress PyTorch implementation of CutPaste
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Updated
May 7, 2024 - Python
unoffical and work in progress PyTorch implementation of CutPaste
Godot C# frontend and FastApi pytorch backend for detecting anomaly region in MVTec dataset.
This repository is an unofficial implementation of the network described in Wang, G., Han, S., Ding, E., & Huang, D. (2021). Student-Teacher Feature Pyramid Matching for Anomaly Detection. The British Machine Vision Conference (BMVC).
Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.
Repository for the Exposing Outlier Exposure paper
Repository for the Explainable Deep One-Class Classification paper
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
Anomaly detection autoencoder model with a focus on industrial images inspection.
Reorganize KolektorSDD dataset as MVTecAD dataset's format. Report SOTA anomaly detection models in KolektorSDD.
Thesis project about Visual Anomaly Detection based on Self Supervised Learning. The model identifies anomalies from information acquired during training, where normality and anomaly patterns are built using syntetic data
🐬 Re-implementation of PaDiM and code for the article "Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images"
PatchCore method for Industrial Anomaly Detection + CLIP
EfficientNetV2 based PaDiM
Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper.
Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020
Using SPADE for anomaly detection on MVTEC LOCO AD dataset
Keras implementation of AnoGAN model.
The solutions for the dacon competition (1st place).
🪥 Unofficial re-implementation of Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
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