Alternatives and similar repositories for IM-IAD:

Users that are interested in IM-IAD are comparing it to the libraries listed below

• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 5 months ago
• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆77Updated last month
• ShuaiLYU / REB
  REB：Reducing Biases in Representation for Industrial Anomaly Detection
  ☆24Updated last year
• IshidaKengo / SA-PatchCore
  ☆22Updated last year
• smiler96 / PFM-and-PEFM-for-Image-Anomaly-Detection-and-Segmentation
  PFM and PEFM for Image Anomaly Detection and Segmentation
  ☆35Updated last year
• BeJane / Semi_REST
  ☆16Updated last year
• hmsch / natural-synthetic-anomalies
  Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".
  ☆56Updated last year
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆43Updated 11 months ago
• caoyunkang / IKD
  [KBS 2022] Informative knowledge distillation for image anomaly segmentation
  ☆22Updated 2 years ago
• guojiajeremy / ReContrast
  ☆39Updated 8 months ago
• scortexio / patchcore-few-shot
  Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
  ☆57Updated last year
• caiyuxuan1120 / DAF
  ☆28Updated last year
• YoojLee / Uniformaly
  Uniformaly: Towards Task-Agnostic Unified Anomaly Detection
  ☆13Updated last year
• TencentYoutuResearch / AnomalyDetection-SoftPatch
  Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"
  ☆55Updated 9 months ago
• FzJun26th / FastRecon
  ☆38Updated last year
• hq-deng / AnoVL
  ☆50Updated last year
• jianzhang96 / GoodsAD
  [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation
  ☆30Updated 5 months ago
• Haoyan-Guan / CAReg
  ☆27Updated 9 months ago
• LucStrater / GeneralAD
  GeneralAD
  ☆50Updated 3 months ago
• ByChelsea / CLIP-AD
  CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.
  ☆33Updated last year
• Choubo / DRA
  Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…
  ☆87Updated 3 years ago
• xcyao00 / PMAD
  [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection
  ☆16Updated 5 months ago
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆50Updated 9 months ago
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆96Updated 8 months ago
• xcyao00 / FOD
  [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…
  ☆45Updated 5 months ago
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆97Updated 4 months ago
• zhangzilongc / MMR
  ☆81Updated last year
• xcyao00 / HGAD
  [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
  ☆20Updated 5 months ago
• MaticFuc / ECCV_TransFusion
  Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
  ☆35Updated last week
• xcyao00 / ResAD
  [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…
  ☆58Updated 5 months ago