Alternatives and similar repositories for FOD:

Users that are interested in FOD are comparing it to the libraries listed below

• LucStrater / GeneralAD
  GeneralAD
  ☆49Updated 3 months ago
• mala-lab / AHL
  Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.
  ☆40Updated 11 months ago
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 4 months ago
• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆76Updated 3 weeks ago
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆42Updated 10 months ago
• caiyuxuan1120 / DAF
  ☆27Updated last year
• smiler96 / PFM-and-PEFM-for-Image-Anomaly-Detection-and-Segmentation
  PFM and PEFM for Image Anomaly Detection and Segmentation
  ☆35Updated last year
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆94Updated 7 months ago
• hq-deng / AnoVL
  ☆50Updated last year
• ByChelsea / CLIP-AD
  CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.
  ☆32Updated last year
• xcyao00 / BGAD
  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…
  ☆85Updated 4 months ago
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆40Updated 4 months ago
• mala-lab / WinCLIP
  Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…
  ☆49Updated 11 months ago
• zhangzilongc / MMR
  ☆80Updated last year
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆50Updated 8 months ago
• Haoyan-Guan / CAReg
  ☆25Updated 9 months ago
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆64Updated last year
• FzJun26th / FastRecon
  ☆37Updated last year
• gasharper / PyramidFlow
  [CVPR 2023] PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow
  ☆61Updated last year
• Choubo / DRA
  Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…
  ☆84Updated 2 years ago
• guojiajeremy / Dinomaly
  ☆91Updated last month
• oopil / PSAD_logical_anomaly_detection
  ☆43Updated last month
• ShuaiLYU / REB
  REB：Reducing Biases in Representation for Industrial Anomaly Detection
  ☆24Updated last year
• xcyao00 / ResAD
  [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…
  ☆55Updated 4 months ago
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆73Updated 5 months ago
• gaobb / AnoGen
  [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection
  ☆32Updated 4 months ago
• zhangzilongc / SOFS
  ☆26Updated last month
• MaticFuc / ECCV_TransFusion
  Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
  ☆34Updated last week
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆94Updated 3 months ago
• StitchKoala / STLM
  ☆17Updated 9 months ago