Alternatives and similar repositories for DMAD

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

• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆69Updated last year
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆103Updated 6 months ago
• ristea / ssmctb
  ☆54Updated last year
• zhangzilongc / MMR
  ☆82Updated last year
• ristea / sspcab
  ☆156Updated 2 years ago
• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆76Updated 3 months ago
• LiUzHiAn / hf2vad
  ☆134Updated 3 years ago
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 7 months ago
• lewandofskee / MambaAD
  [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.
  ☆173Updated 3 months ago
• LucStrater / GeneralAD
  GeneralAD
  ☆54Updated 6 months ago
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆47Updated 2 weeks ago
• xcyao00 / FOD
  [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…
  ☆46Updated 7 months ago
• xcyao00 / BGAD
  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…
  ☆89Updated 7 months ago
• mala-lab / AHL
  Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.
  ☆46Updated last year
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆42Updated last week
• oopil / PSAD_logical_anomaly_detection
  ☆51Updated last month
• ktr-hubrt / UMIL
  ☆59Updated last year
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆101Updated 10 months ago
• Choubo / DRA
  Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…
  ☆89Updated 3 years ago
• zhangzjn / OCR-GAN
  [TIP 2023] Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection
  ☆49Updated 2 years ago
• wogur110 / PNI_anomaly_detection
  Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"
  ☆46Updated last year
• aseuteurideu / STEAL
  Official implementation of "Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection" (ICCV Workshops 2021: RSL-CV).
  ☆29Updated 2 years ago
• ristea / aed-mae
  ☆50Updated 6 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
• gasharper / PyramidFlow
  [CVPR 2023] PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow
  ☆63Updated last year
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆84Updated 3 weeks ago
• guojiajeremy / ReContrast
  ☆42Updated 11 months ago
• hq-deng / AnoVL
  ☆51Updated last year
• xcyao00 / ResAD
  [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…
  ☆64Updated 7 months ago
• FzJun26th / FastRecon
  ☆39Updated last year