Alternatives and similar repositories for natural-synthetic-anomalies

Users that are interested in natural-synthetic-anomalies are comparing it to the libraries listed below

• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆76Updated 3 months ago
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 7 months ago
• zhangzilongc / MMR
  ☆82Updated last year
• VitjanZ / DSR_anomaly_detection
  ☆45Updated 2 years ago
• smiler96 / PFM-and-PEFM-for-Image-Anomaly-Detection-and-Segmentation
  PFM and PEFM for Image Anomaly Detection and Segmentation
  ☆36Updated 2 years ago
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆42Updated last week
• BeJane / Semi_REST
  ☆17Updated 2 years ago
• gasharper / autoFlow
  A sequence normalizing flow framework with memory saving, automatic Jacobian tracking, and object-oriented programming features.
  ☆40Updated last year
• IshidaKengo / SA-PatchCore
  ☆22Updated last year
• oopil / PSAD_logical_anomaly_detection
  ☆51Updated last month
• xcyao00 / BGAD
  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…
  ☆89Updated 7 months ago
• M-3LAB / IM-IAD
  ☆23Updated last year
• tientrandinh / Revisiting-Reverse-Distillation
  (CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection
  ☆142Updated last year
• sungwool / CFA_for_anomaly_localization
  ☆110Updated 2 years ago
• hq-deng / RD4AD
  Anomaly Detection via Reverse Distillation from One-Class Embedding
  ☆209Updated 2 years ago
• caiyuxuan1120 / DAF
  ☆29Updated last year
• scortexio / patchcore-few-shot
  Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
  ☆58Updated last year
• HuiZhang0812 / DiffusionAD
  ☆179Updated last year
• TencentYoutuResearch / AnomalyDetection-SoftPatch
  Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"
  ☆60Updated 11 months ago
• hyao1 / GLAD
  The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…
  ☆94Updated last month
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆101Updated 10 months ago
• FzJun26th / FastRecon
  ☆39Updated last year
• ByChelsea / CLIP-AD
  CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.
  ☆38Updated last year
• gathierry / FastFlow
  ☆143Updated 2 years ago
• areylng / MemSeg
  ☆22Updated 2 years ago
• marco-rudolph / AST
  This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehr…
  ☆77Updated 2 years ago
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆103Updated 6 months ago
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆69Updated last year
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆47Updated last week
• stepanje / MPDD
  Metal Parts Defect Detection Dataset
  ☆32Updated 11 months ago