Alternatives and similar repositories for ssmctb

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

• FlappyPeggy / DMAD
  Official code for "Diversity-Measurable Anomaly Detection", CVPR 2023 by Wenrui Liu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen.
  ☆71Updated last year
• zhangzilongc / MMR
  ☆90Updated 2 years ago
• xcyao00 / PRNet
  [CVPR 2023] Unofficial PyTorch implementation for CVPR2023 paper, Prototypical Residual Networks for Anomaly Detection and Localization.
  ☆36Updated 2 years ago
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆126Updated last year
• jungyg / TailedCore
  Official implementation of TailedCore(CVPR25)
  ☆24Updated 6 months ago
• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆80Updated 9 months ago
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆81Updated last year
• jianzhang96 / GoodsAD
  [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation
  ☆39Updated last year
• ristea / sspcab
  ☆162Updated 2 years ago
• jiaq-liu / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆112Updated last year
• mala-lab / ADShift
  Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”
  ☆39Updated 2 years ago
• ByChelsea / CLIP-AD
  CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.
  ☆40Updated last year
• lewandofskee / MambaAD
  [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.
  ☆197Updated 9 months ago
• caiyuxuan1120 / DAF
  ☆32Updated 2 years ago
• guojiajeremy / ReContrast
  [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".
  ☆47Updated last year
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆56Updated last year
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆36Updated last year
• vijaylee / Continual_Anomaly_Detection
  Official code for ACMMM 2022 paper: Towards Continual Adaptation in Industrial Anomaly Detection
  ☆22Updated 2 years ago
• hyao1 / GLAD
  The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…
  ☆112Updated 7 months ago
• xzhang-t / DiffAD
  [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model
  ☆36Updated last year
• FzJun26th / FastRecon
  ☆43Updated 2 years ago
• hq-deng / AnoVL
  ☆56Updated 2 years ago
• xcyao00 / BGAD
  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…
  ☆91Updated last year
• xcyao00 / ResAD
  [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…
  ☆82Updated 2 months ago
• LucStrater / GeneralAD
  GeneralAD
  ☆57Updated last year
• VitjanZ / DSR_anomaly_detection
  ☆53Updated 3 years ago
• mala-lab / InCTRL
  Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…
  ☆199Updated 5 months ago
• hmsch / natural-synthetic-anomalies
  Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".
  ☆71Updated 2 years ago
• 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"
  ☆46Updated 6 months ago