QizeMa

QizeMa's Stars

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.5k286221.8k

• hoya012/awesome-anomaly-detection

  A curated list of awesome anomaly detection resources

  2.8k1315517

• M-3LAB/awesome-industrial-anomaly-detection

  Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

  1.8k6714159

• declare-lab/multimodal-deep-learning

  This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

  Language:OpenEdge ABL77978156

• lukasruff/Deep-SVDD-PyTorch

  A PyTorch implementation of the Deep SVDD anomaly detection method

  Language:Python7131625201

• adikhosla/feature-extraction

  Computer vision feature extraction toolbox for image classification

  Language:Matlab3062411135

• lukasruff/Deep-SVDD

  Repository for the Deep One-Class Classification ICML 2018 paper

  Language:Python247121465

• Runinho/pytorch-cutpaste

  unoffical and work in progress PyTorch implementation of CutPaste

  Language:Python24083352

• byungjae89/SPADE-pytorch

  PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"

  Language:Python23972244

• marco-rudolph/differnet

  This is the official repository to the WACV 2021 paper "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows" by Marco Rudolph, Bastian Wandt and Bodo Rosenhahn.

  Language:Python22084169

• FelixDJC/Awesome-Graph-Anomaly-Detection

  A collection of papers for graph anomaly detection, and published algorithms and datasets.

  1121015

• demonzyj56/E3Outlier

  E3Outlier: Effective End-to-end Unsupervised Outlier Detection

  Language:Python444214

• yudai09/mvtecad_pytorch

  Unofficial pytorch dataset class for MVTec Anomaly Detection Dataset

  Language:Python8201

• BadSeedX/SSAPS

  Official PyTorch Implementation of “Self-Supervised Augmented Patches Segmentation for Anomaly Detection”, Accepted by ACCV 2022.

  Language:Python5100

• DCMVH/DCMVH

  Deep Collaborative Multi-view Hashing for Large-scale Image Search

  Language:MATLAB10