Alternatives and similar repositories for MuSc:

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

• HUST-SLOW / AnomalyNCD
  [arXiv:2410.14379] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs…
  ☆21Updated 7 months ago
• HUST-SLOW / SeaS
  [arXiv:2410.14987] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at http…
  ☆17Updated 7 months ago
• ShuaiLYU / REB
  REB：Reducing Biases in Representation for Industrial Anomaly Detection
  ☆23Updated 11 months ago
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆48Updated 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.
  ☆29Updated 10 months ago
• guojiajeremy / Dinomaly
  ☆65Updated 2 months ago
• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆66Updated last year
• hyao1 / GLAD
  The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…
  ☆67Updated this week
• xcyao00 / FOD
  [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…
  ☆43Updated 2 months ago
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆82Updated last month
• Haoyan-Guan / CAReg
  ☆22Updated 7 months ago
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆33Updated last month
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 2 months ago
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆85Updated 5 months ago
• TaoTao9 / EasyNet
  ☆13Updated 7 months ago
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆42Updated 8 months ago
• gaobb / AnoGen
  [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection
  ☆24Updated 2 months ago
• LucStrater / GeneralAD
  GeneralAD
  ☆47Updated last month
• lewandofskee / DiAD
  Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.
  ☆158Updated last month
• xcyao00 / BGAD
  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…
  ☆82Updated 2 months ago
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆62Updated 3 months ago
• liutongkun / FAIR
  Frequency-aware Image Restoration for Industrial Visual anomaly detection
  ☆29Updated 2 months ago
• blaz-r / SuperSimpleNet
  [ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect…
  ☆38Updated 3 months ago
• ZZZBBBZZZ / MulSen-AD
  A Dataset and Benchmark for Multi-Sensor Anomaly Detection
  ☆22Updated this week
• FFDD-diffusion / DefectDiffu
  ☆12Updated 6 months ago
• xcyao00 / ResAD
  [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…
  ☆47Updated 2 months ago
• xcyao00 / PRNet
  [CVPR 2023] Unofficial PyTorch implementation for CVPR2023 paper, Prototypical Residual Networks for Anomaly Detection and Localization.
  ☆26Updated last year
• hq-deng / AnoVL
  ☆41Updated last year
• winggan / adeval
  Evaluation Tool for Anomaly Detection Research
  ☆13Updated 8 months ago
• abc-125 / segad
  Segmentation-based Anomaly Detector (SegAD)
  ☆48Updated 3 months ago