Alternatives and similar repositories for RIAD-PyTorch

Users that are interested in RIAD-PyTorch are comparing it to the libraries listed below

• zhangzilongc / MMR
  ☆82Updated last year
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆69Updated last year
• cqylunlun / PBAS
  [TCSVT 2024] Official Implementation for "Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection"
  ☆18Updated 3 weeks ago
• jianzhang96 / GoodsAD
  [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation
  ☆33Updated 8 months ago
• wogur110 / PNI_anomaly_detection
  Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"
  ☆46Updated last year
• Ehteshamciitwah / MSFR
  This is official implementation of Multi-scale feature reconstruction network for industrial anomaly detection
  ☆14Updated 7 months ago
• caiyuxuan1120 / DAF
  ☆29Updated last year
• hmsch / natural-synthetic-anomalies
  Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".
  ☆59Updated 2 years ago
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 7 months ago
• IshidaKengo / SA-PatchCore
  ☆22Updated last year
• LuigiFederico / PatchCore-for-Industrial-Anomaly-Detection
  PatchCore method for Industrial Anomaly Detection + CLIP
  ☆31Updated 9 months ago
• LucStrater / GeneralAD
  GeneralAD
  ☆54Updated 6 months ago
• VitjanZ / DSR_anomaly_detection
  ☆45Updated 2 years ago
• YoojLee / Uniformaly
  Uniformaly: Towards Task-Agnostic Unified Anomaly Detection
  ☆13Updated last year
• caoyunkang / IKD
  [KBS 2022] Informative knowledge distillation for image anomaly segmentation
  ☆22Updated 3 years ago
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆42Updated last week
• SimonThomine / RememberingNormality
  Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"
  ☆18Updated last week
• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆76Updated 3 months ago
• smiler96 / PFM-and-PEFM-for-Image-Anomaly-Detection-and-Segmentation
  PFM and PEFM for Image Anomaly Detection and Segmentation
  ☆36Updated 2 years ago
• guojiajeremy / ReContrast
  ☆42Updated 11 months ago
• xcyao00 / PRNet
  [CVPR 2023] Unofficial PyTorch implementation for CVPR2023 paper, Prototypical Residual Networks for Anomaly Detection and Localization.
  ☆30Updated last year
• M-3LAB / IM-IAD
  ☆23Updated last year
• FzJun26th / FastRecon
  ☆39Updated last year
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆47Updated 2 weeks ago
• ShuaiLYU / REB
  REB：Reducing Biases in Representation for Industrial Anomaly Detection
  ☆25Updated last year
• StitchKoala / STLM
  ☆18Updated last year
• 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
• MaticFuc / ECCV_TransFusion
  Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
  ☆38Updated 2 months ago
• BeJane / Semi_REST
  ☆17Updated 2 years ago
• plutoyuxie / Reconstruction-by-inpainting-for-visual-anomaly-detection
  This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).
  ☆97Updated 4 years ago