Alternatives and similar repositories for FewSOME

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

• SimonThomine / RememberingNormality
  Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"
  ☆22Updated 6 months ago
• gordon-chenmo / UTRAD
  Pytorch implementation of UTRAD
  ☆27Updated 3 years ago
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆81Updated last year
• guojiajeremy / ReContrast
  [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".
  ☆48Updated last year
• xcyao00 / PRNet
  [CVPR 2023] Unofficial PyTorch implementation for CVPR2023 paper, Prototypical Residual Networks for Anomaly Detection and Localization.
  ☆36Updated 2 years ago
• aodongli / zero-shot-ad-via-batch-norm
  Official code repository for paper Zero-Shot Anomaly Detection via Batch Normalization (NeurIPS 2023).
  ☆49Updated last year
• mala-lab / ADShift
  Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”
  ☆39Updated 2 years ago
• Haoyan-Guan / CAReg
  ☆36Updated last year
• zhangzilongc / MMR
  ☆90Updated 2 years ago
• hmsch / natural-synthetic-anomalies
  Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".
  ☆72Updated 2 years ago
• LilitYolyan / CutPaste
  Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch
  ☆127Updated 3 years ago
• ristea / ssmctb
  ☆61Updated 2 years ago
• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆80Updated 10 months ago
• plutoyuxie / Reconstruction-by-inpainting-for-visual-anomaly-detection
  This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).
  ☆101Updated 5 years ago
• Howeng98 / MSPBA
  Multi-Scale Patch-Based Representation Learning for Image Anomaly Detection and Segmentation
  ☆41Updated 3 years ago
• talreiss / Mean-Shifted-Anomaly-Detection
  Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)
  ☆117Updated last year
• mala-lab / AHL
  Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.
  ☆52Updated last year
• caiyuxuan1120 / DAF
  ☆32Updated 2 years ago
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆36Updated last year
• hito2448 / URD
  [AAAI 2025] PyTorch Implementation of "Unlocking the Potential of Reverse Distillation for Anomaly Detection".
  ☆35Updated 7 months ago
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆64Updated 2 months ago
• Ehteshamciitwah / MSFR
  This is official implementation of Multi-scale feature reconstruction network for industrial anomaly detection
  ☆18Updated 6 months ago
• rohban-lab / Knowledge_Distillation_AD
  ☆91Updated last year
• tiskw / patchcore-ad
  Unofficial implementation of PatchCore and several additional experiments.
  ☆26Updated last year
• jiaq-liu / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆112Updated last year
• cool-xuan / vqflow
  ☆13Updated last year
• LuigiFederico / PatchCore-for-Industrial-Anomaly-Detection
  PatchCore method for Industrial Anomaly Detection + CLIP
  ☆39Updated last year
• jhy12 / inpainting-transformer
  This is unofficial implementation of Inpainting Transformer for Anomaly Detection(Intra)
  ☆50Updated 4 years ago
• mala-lab / deviation-network-image
  Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supe…
  ☆89Updated 3 years ago
• BeJane / Semi_REST
  ☆17Updated 2 years ago