Alternatives and similar repositories for FOD

Users that are interested in FOD 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
• hq-deng / AnoVL
  ☆51Updated last year
• caiyuxuan1120 / DAF
  ☆29Updated last year
• LucStrater / GeneralAD
  GeneralAD
  ☆54Updated 6 months ago
• xcyao00 / BGAD
  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…
  ☆89Updated 7 months ago
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 7 months ago
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆42Updated last week
• mala-lab / AHL
  Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.
  ☆46Updated last year
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆101Updated 10 months ago
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆47Updated last week
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆52Updated 11 months ago
• zhangzilongc / MMR
  ☆82Updated last year
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆103Updated 6 months ago
• gasharper / PyramidFlow
  [CVPR 2023] PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow
  ☆62Updated last year
• mala-lab / WinCLIP
  Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…
  ☆54Updated last year
• oopil / PSAD_logical_anomaly_detection
  ☆51Updated last month
• smiler96 / PFM-and-PEFM-for-Image-Anomaly-Detection-and-Segmentation
  PFM and PEFM for Image Anomaly Detection and Segmentation
  ☆36Updated 2 years ago
• xcyao00 / ResAD
  [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…
  ☆64Updated 7 months ago
• 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
• FzJun26th / FastRecon
  ☆39Updated last year
• guojiajeremy / ReContrast
  ☆40Updated 11 months ago
• BeJane / Semi_REST
  ☆17Updated 2 years ago
• Choubo / DRA
  Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…
  ☆89Updated 3 years ago
• VitjanZ / DSR_anomaly_detection
  ☆45Updated 2 years ago
• Haoyan-Guan / CAReg
  ☆29Updated last year
• scortexio / patchcore-few-shot
  Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
  ☆58Updated last year
• jianzhang96 / GoodsAD
  [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation
  ☆33Updated 8 months ago
• xcyao00 / PMAD
  [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection
  ☆16Updated 7 months ago
• wogur110 / PNI_anomaly_detection
  Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"
  ☆46Updated last year
• TencentYoutuResearch / AnomalyDetection-SoftPatch
  Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"
  ☆60Updated 11 months ago