Alternatives and similar repositories for CDO

Users that are interested in CDO 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
  ☆36Updated 10 months ago
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆45Updated 3 months ago
• zhangzilongc / MMR
  ☆87Updated last year
• xcyao00 / BGAD
  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…
  ☆90Updated 10 months ago
• oopil / PSAD_logical_anomaly_detection
  ☆58Updated 4 months ago
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆104Updated last year
• VitjanZ / DSR_anomaly_detection
  ☆48Updated 3 years ago
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆118Updated 9 months ago
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆77Updated last year
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆59Updated 3 months ago
• farzad-bz / DeCo-Diff
  This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…
  ☆44Updated last month
• 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
• hmsch / natural-synthetic-anomalies
  Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".
  ☆62Updated 2 years ago
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆53Updated 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
• Haoyan-Guan / CAReg
  ☆33Updated last year
• scortexio / patchcore-few-shot
  Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
  ☆62Updated 2 years ago
• hq-deng / AnoVL
  ☆55Updated 2 years ago
• jianzhang96 / GoodsAD
  [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation
  ☆35Updated 11 months ago
• tientrandinh / Revisiting-Reverse-Distillation
  (CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection
  ☆147Updated last year
• hyao1 / GLAD
  The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…
  ☆106Updated 4 months ago
• FzJun26th / FastRecon
  ☆42Updated last year
• wogur110 / PNI_anomaly_detection
  Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"
  ☆51Updated last year
• ShuaiLYU / REB
  REB：Reducing Biases in Representation for Industrial Anomaly Detection
  ☆27Updated last year
• EnquanYang2022 / 3CAD
  AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control
  ☆48Updated 4 months ago
• MaticFuc / ECCV_TransFusion
  Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
  ☆40Updated 5 months ago
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆92Updated 3 months ago
• caiyuxuan1120 / DAF
  ☆30Updated last year
• BeJane / Semi_REST
  ☆17Updated 2 years ago
• xcyao00 / FOD
  [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…
  ☆47Updated 10 months ago