Alternatives and similar repositories for ComAD

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

• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆77Updated 5 months ago
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 9 months ago
• zhangzilongc / MMR
  ☆83Updated last year
• xcyao00 / BGAD
  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…
  ☆89Updated 9 months ago
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆73Updated last year
• oopil / PSAD_logical_anomaly_detection
  ☆54Updated 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.
  ☆38Updated last year
• BeJane / Semi_REST
  ☆17Updated 2 years ago
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆104Updated last year
• FzJun26th / FastRecon
  ☆41Updated last year
• VitjanZ / DSR_anomaly_detection
  ☆47Updated 3 years ago
• ShuaiLYU / REB
  REB：Reducing Biases in Representation for Industrial Anomaly Detection
  ☆27Updated last year
• smiler96 / PFM-and-PEFM-for-Image-Anomaly-Detection-and-Segmentation
  PFM and PEFM for Image Anomaly Detection and Segmentation
  ☆36Updated 2 years ago
• LucStrater / GeneralAD
  GeneralAD
  ☆55Updated 7 months ago
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆114Updated 8 months ago
• xcyao00 / FOD
  [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…
  ☆46Updated 9 months ago
• scortexio / patchcore-few-shot
  Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
  ☆61Updated 2 years ago
• tientrandinh / Revisiting-Reverse-Distillation
  (CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection
  ☆147Updated last year
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆51Updated last month
• Haoyan-Guan / CAReg
  ☆30Updated last year
• caiyuxuan1120 / DAF
  ☆29Updated last year
• guojiajeremy / ReContrast
  ☆46Updated last year
• MaticFuc / ECCV_TransFusion
  Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
  ☆38Updated 4 months ago
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆52Updated last year
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆89Updated 2 months ago
• hq-deng / AnoVL
  ☆53Updated last year
• IshidaKengo / SA-PatchCore
  ☆23Updated last year
• hmsch / natural-synthetic-anomalies
  Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".
  ☆62Updated 2 years ago
• wogur110 / PNI_anomaly_detection
  Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"
  ☆48Updated last year
• jianzhang96 / GoodsAD
  [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation
  ☆33Updated 9 months ago