Alternatives and similar repositories for natural-synthetic-anomalies

Users that are interested in natural-synthetic-anomalies are comparing it to the libraries listed below

• hq-deng / RD4AD
  Anomaly Detection via Reverse Distillation from One-Class Embedding
  ☆227Updated 2 years ago
• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆79Updated 8 months ago
• VitjanZ / DSR_anomaly_detection
  ☆52Updated 3 years ago
• tientrandinh / Revisiting-Reverse-Distillation
  (CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection
  ☆150Updated last year
• zhangzilongc / MMR
  ☆89Updated 2 years ago
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆80Updated last year
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆36Updated last year
• VitjanZ / DRAEM
  ☆264Updated 2 years ago
• apple / ml-destseg
  ☆81Updated 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
• BeJane / Semi_REST
  ☆17Updated 2 years ago
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆47Updated 5 months ago
• sungwool / CFA_for_anomaly_localization
  ☆117Updated 3 years ago
• M-3LAB / IM-IAD
  ☆23Updated 2 years ago
• HuiZhang0812 / DiffusionAD
  [TPAMI] DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
  ☆202Updated last year
• hyao1 / GLAD
  The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…
  ☆108Updated 6 months ago
• gathierry / FastFlow
  ☆155Updated 2 years ago
• arimousa / DDAD
  ☆197Updated last year
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆109Updated last year
• oopil / PSAD_logical_anomaly_detection
  ☆59Updated 6 months ago
• cqylunlun / PBAS
  [TCSVT 2024] Official Implementation for "Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection"
  ☆32Updated 4 months ago
• FzJun26th / FastRecon
  ☆43Updated 2 years ago
• xcyao00 / BGAD
  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…
  ☆90Updated last year
• jianzhang96 / GoodsAD
  [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation
  ☆36Updated last year
• amazon-science / spot-diff
  Project for <SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation> (ECCV 2022)
  ☆213Updated 3 years ago
• plutoyuxie / Reconstruction-by-inpainting-for-visual-anomaly-detection
  This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).
  ☆100Updated 5 years ago
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆120Updated 11 months ago
• xcyao00 / FOD
  [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…
  ☆47Updated last year
• Haoyan-Guan / CAReg
  ☆34Updated last year
• caoyunkang / IKD
  [KBS 2022] Informative knowledge distillation for image anomaly segmentation
  ☆22Updated 3 years ago