Alternatives and similar repositories for IndustrialNet

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

• zhangzilongc / MMR
  ☆83Updated last year
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆43Updated last month
• liutongkun / FAIR
  Frequency-aware Image Restoration for Industrial Visual anomaly detection
  ☆35Updated last month
• caiyuxuan1120 / DAF
  ☆29Updated last year
• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆77Updated 5 months ago
• Chan-Sun / IFSDD
  [IEEE TIM] An Incremental Knowledge Learning Framework for Continuous Defect Detection
  ☆23Updated last year
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 9 months ago
• xcyao00 / PRNet
  [CVPR 2023] Unofficial PyTorch implementation for CVPR2023 paper, Prototypical Residual Networks for Anomaly Detection and Localization.
  ☆33Updated 2 years ago
• xcyao00 / FOD
  [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…
  ☆46Updated 9 months ago
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆104Updated last year
• jianzhang96 / GoodsAD
  [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation
  ☆33Updated 9 months ago
• ShuaiLYU / REB
  REB：Reducing Biases in Representation for Industrial Anomaly Detection
  ☆27Updated last year
• liutongkun / EdgRec
  Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection
  ☆27Updated 11 months ago
• FzJun26th / FastRecon
  ☆41Updated last year
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆73Updated last year
• SSRheart / PCB-Bank
  ☆12Updated last year
• caoyunkang / IKD
  [KBS 2022] Informative knowledge distillation for image anomaly segmentation
  ☆22Updated 3 years ago
• VincentHancoder / SSGD
  SSGD(ICASSP2023)
  ☆46Updated 8 months ago
• M-3LAB / IM-IAD
  ☆23Updated 2 years ago
• BMVC-FADE / BMVC-FADE
  Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".
  ☆26Updated 8 months ago
• VitjanZ / DSR_anomaly_detection
  ☆47Updated 3 years 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
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆51Updated last month
• stepanje / MPDD
  Metal Parts Defect Detection Dataset
  ☆34Updated 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
• LucStrater / GeneralAD
  GeneralAD
  ☆55Updated 7 months ago
• IshidaKengo / SA-PatchCore
  ☆23Updated last year
• Haoyan-Guan / CAReg
  ☆30Updated last year
• 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
• oopil / PSAD_logical_anomaly_detection
  ☆54Updated 3 months ago