Alternatives and similar repositories for UTRAD:

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

• caoyunkang / IKD
  [KBS 2022] Informative knowledge distillation for image anomaly segmentation
  ☆22Updated 2 years ago
• caiyuxuan1120 / DAF
  ☆27Updated last year
• zhangzilongc / MMR
  ☆75Updated last year
• jianzhang96 / GoodsAD
  [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation
  ☆29Updated 4 months ago
• guojiajeremy / ReContrast
  ☆38Updated 7 months ago
• ByChelsea / CLIP-AD
  CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.
  ☆30Updated 11 months ago
• YoojLee / Uniformaly
  Uniformaly: Towards Task-Agnostic Unified Anomaly Detection
  ☆13Updated last year
• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆67Updated last year
• hmsch / natural-synthetic-anomalies
  Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".
  ☆55Updated last year
• smiler96 / PFM-and-PEFM-for-Image-Anomaly-Detection-and-Segmentation
  PFM and PEFM for Image Anomaly Detection and Segmentation
  ☆34Updated last year
• IshidaKengo / SA-PatchCore
  ☆22Updated last year
• xcyao00 / PRNet
  [CVPR 2023] Unofficial PyTorch implementation for CVPR2023 paper, Prototypical Residual Networks for Anomaly Detection and Localization.
  ☆26Updated last year
• Chan-Sun / IFSDD
  [IEEE TIM] An Incremental Knowledge Learning Framework for Continuous Defect Detection
  ☆21Updated 9 months ago
• ristea / ssmctb
  ☆49Updated last year
• M-3LAB / IM-IAD
  ☆23Updated last year
• tianyu0207 / IGD
  Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]
  ☆65Updated last year
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 3 months ago
• YoungGod / DFC
  Unsupervised Anomaly Detection and Segmentation via Deep Feature Correspondence
  ☆20Updated 2 years ago
• rohban-lab / Knowledge_Distillation_AD
  ☆87Updated 3 months ago
• tianyu0207 / CCD
  Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2…
  ☆49Updated 2 years ago
• hq-deng / AnoVL
  ☆48Updated last year
• Haoyan-Guan / CAReg
  ☆25Updated 8 months ago
• Alex-ShiLei / IndustrialNet
  Few-shot segmentation for industrail defect detection
  ☆20Updated last year
• xcyao00 / PMAD
  [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection
  ☆16Updated 4 months ago
• Niousha12 / Knowledge_Distillation_AD
  ☆54Updated 3 years ago
• jhy12 / inpainting-transformer
  This is unofficial implementation of Inpainting Transformer for Anomaly Detection(Intra)
  ☆48Updated 3 years ago
• seungjunlee96 / AnoGAN-pytorch
  Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"
  ☆61Updated 4 years ago
• TencentYoutuResearch / AnomalyDetection-SoftPatch
  Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"
  ☆53Updated 7 months ago
• tianyu0207 / MemMC-MAE
  Official code for 'Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoenco…
  ☆9Updated 2 years ago
• SimonThomine / RememberingNormality
  Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"
  ☆15Updated 9 months ago