Alternatives and similar repositories for zero-shot-ad-via-batch-norm:

Users that are interested in zero-shot-ad-via-batch-norm are comparing it to the libraries listed below

• mala-lab / ADShift
  Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”
  ☆31Updated last year
• guojiajeremy / ReContrast
  ☆39Updated 9 months ago
• caiyuxuan1120 / DAF
  ☆29Updated last year
• vijaylee / Continual_Anomaly_Detection
  Official code for ACMMM 2022 paper: Towards Continual Adaptation in Industrial Anomaly Detection
  ☆18Updated last year
• jungyg / TailedCore
  Official implementation of TailedCore(CVPR25)
  ☆16Updated 3 weeks ago
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆68Updated last year
• TencentYoutuResearch / AnomalyDetection-SoftPatch
  Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"
  ☆56Updated 9 months ago
• M-3LAB / IM-IAD
  ☆23Updated last year
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆99Updated 4 months ago
• ristea / ssmctb
  ☆53Updated last year
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆97Updated 8 months ago
• Choubo / DRA
  Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…
  ☆88Updated 3 years ago
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 5 months ago
• xcyao00 / PMAD
  [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection
  ☆16Updated 5 months ago
• mala-lab / AHL
  Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.
  ☆43Updated last year
• mala-lab / FAPrompt
  Official PyTorch implementation of "Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection".
  ☆12Updated 6 months ago
• FlappyPeggy / DMAD
  Official code for "Diversity-Measurable Anomaly Detection", CVPR 2023 by Wenrui Liu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen.
  ☆71Updated 6 months ago
• jianzhang96 / GoodsAD
  [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation
  ☆30Updated 6 months ago
• zhangzilongc / MMR
  ☆81Updated last year
• hq-deng / AnoVL
  ☆50Updated last year
• xcyao00 / ResAD
  [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…
  ☆58Updated 5 months ago
• tianyu0207 / IGD
  Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]
  ☆65Updated last year
• FzJun26th / FastRecon
  ☆39Updated last year
• SimonThomine / RememberingNormality
  Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"
  ☆16Updated 11 months ago
• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆77Updated last month
• lewandofskee / MambaAD
  [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.
  ☆165Updated last month
• YoojLee / Uniformaly
  Uniformaly: Towards Task-Agnostic Unified Anomaly Detection
  ☆13Updated last year
• Haoyan-Guan / CAReg
  ☆28Updated 10 months ago
• RuiyingLu / HVQ-Trans
  Code for "Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection" published in NeurIPS 2023
  ☆42Updated last year
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆42Updated 5 months ago