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 last year
• xcyao00 / BGAD
  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…
  ☆92Updated last year
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆46Updated last month
• zhangzilongc / MMR
  ☆91Updated 2 years ago
• VitjanZ / DSR_anomaly_detection
  ☆54Updated 3 years ago
• jiaq-liu / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆112Updated last year
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆69Updated 3 weeks ago
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆132Updated last year
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆82Updated last year
• oopil / PSAD_logical_anomaly_detection
  ☆61Updated 9 months ago
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆56Updated last year
• tientrandinh / Revisiting-Reverse-Distillation
  (CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection
  ☆158Updated 2 years ago
• hmsch / natural-synthetic-anomalies
  Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".
  ☆72Updated 2 years ago
• scortexio / patchcore-few-shot
  Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
  ☆63Updated 2 years ago
• xcyao00 / FOD
  [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…
  ☆46Updated last year
• ByChelsea / CLIP-AD
  CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.
  ☆41Updated last year
• farzad-bz / DeCo-Diff
  This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…
  ☆57Updated 6 months ago
• FzJun26th / FastRecon
  ☆44Updated 2 years ago
• Haoyan-Guan / CAReg
  ☆37Updated last year
• smiler96 / PFM-and-PEFM-for-Image-Anomaly-Detection-and-Segmentation
  PFM and PEFM for Image Anomaly Detection and Segmentation
  ☆37Updated 2 years ago
• hyao1 / GLAD
  The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…
  ☆112Updated 8 months ago
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆102Updated 8 months ago
• hq-deng / AnoVL
  ☆56Updated 2 years ago
• caiyuxuan1120 / DAF
  ☆32Updated 2 years ago
• jianzhang96 / GoodsAD
  [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation
  ☆40Updated last year
• HuiZhang0812 / DiffusionAD
  [TPAMI] DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
  ☆213Updated 2 years ago
• hq-deng / RD4AD
  Anomaly Detection via Reverse Distillation from One-Class Embedding
  ☆238Updated 2 years ago
• FuNz-0 / PromptAD
  Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
  ☆197Updated last year
• ShuaiLYU / REB
  REB：Reducing Biases in Representation for Industrial Anomaly Detection
  ☆26Updated 2 years ago
• guojiajeremy / ReContrast
  [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".
  ☆49Updated last year