Alternatives and similar repositories for MemMC-MAE:

Users that are interested in MemMC-MAE are comparing it to the libraries listed below

• YoojLee / Uniformaly
  Uniformaly: Towards Task-Agnostic Unified Anomaly Detection
  ☆13Updated last year
• caiyuxuan1120 / DAF
  ☆27Updated last year
• tianyu0207 / IGD
  Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]
  ☆65Updated last year
• YoungGod / DFC
  Unsupervised Anomaly Detection and Segmentation via Deep Feature Correspondence
  ☆20Updated 2 years ago
• xcyao00 / PMAD
  [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection
  ☆16Updated 4 months ago
• gordon-chenmo / UTRAD
  Pytorch implementation of UTRAD
  ☆24Updated 2 years ago
• hmyao22 / DADF
  The official implementation of the paper DADF for industrial VAD
  ☆12Updated last year
• YeongHyeon / RIAD-PyTorch
  PyTorch implementation of "Reconstruction by inpainting for visual anomaly detection (RIAD)"
  ☆15Updated last year
• StitchKoala / STLM
  ☆17Updated 8 months ago
• caoyunkang / IKD
  [KBS 2022] Informative knowledge distillation for image anomaly segmentation
  ☆22Updated 2 years ago
• IshidaKengo / SA-PatchCore
  ☆22Updated last year
• jianzhang96 / GoodsAD
  [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation
  ☆29Updated 4 months ago
• whduddhks / Anomaly-Detection-in-Video-via-Self-Supervised-and-Multi-Task-Learning
  ☆10Updated 2 years ago
• hlr7999 / RLR
  [ECCV 2024] Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
  ☆14Updated 6 months ago
• hmyao22 / GLCF
  Implementation for paper:"Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection"
  ☆10Updated last year
• smiler96 / PFM-and-PEFM-for-Image-Anomaly-Detection-and-Segmentation
  PFM and PEFM for Image Anomaly Detection and Segmentation
  ☆34Updated last year
• jusiro / constrained_anomaly_segmentation
  [MedIA'22] Constrained unsupervised anomaly segmentation.
  ☆19Updated last year
• ristea / ssmctb
  ☆49Updated last year
• xiahaifeng1995 / FAVAE-anomaly-detection-localization-master
  This is an unofficial implementation of ' Anomaly localization by modeling perceptual features'
  ☆23Updated 4 years ago
• mtailanian / uflow
  ☆27Updated 3 months ago
• mala-lab / deviation-network-image
  Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supe…
  ☆84Updated 2 years ago
• mala-lab / ADShift
  Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”
  ☆30Updated last year
• lessthan41 / NTHU-CVLAB-Synthetic-Images
  Synthetic Image Dataset for Industrial Anomaly Detection and Segmentation
  ☆13Updated 5 months ago
• M-3LAB / IM-IAD
  ☆23Updated last year
• ninatu / anomaly_detection
  Official implementation of "Anomaly Detection with Deep Perceptual Autoencoders." IEEE Access 2021
  ☆47Updated 3 years ago
• jnhwkim / orthoad
  Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
  ☆27Updated 3 years ago
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 3 months ago
• tianyu0207 / CCD
  Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2…
  ☆49Updated 2 years ago
• jhy12 / inpainting-transformer
  This is unofficial implementation of Inpainting Transformer for Anomaly Detection(Intra)
  ☆48Updated 3 years ago