lyn1874 / memAE
unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Anomaly Detection
☆72Updated 4 years ago
Alternatives and similar repositories for memAE:
Users that are interested in memAE are comparing it to the libraries listed below
- Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)☆63Updated 5 years ago
- ☆156Updated last year
- MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsuper…☆483Updated 2 years ago
- ☆79Updated 4 years ago
- ☆54Updated 3 years ago
- An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.☆352Updated 5 months ago
- Code for the CVPR 2020 paper 'Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm'☆89Updated 4 years ago
- Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings☆85Updated 4 years ago
- some CV Anomaly Detection Model implement by Pytorch☆13Updated 3 years ago
- Implementation of f-AnoGAN with PyTorch☆151Updated 2 years ago
- PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)☆93Updated 8 months ago
- ☆87Updated 4 months ago
- Code to reproduce 'MOCCA: Multi-Layer One-Class Classification for Anomaly Detection'☆10Updated 3 years ago
- WGAN based AnoGAN☆47Updated 4 years ago
- An unofficial *re*implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.☆25Updated 2 years ago
- Student–Teacher Anomaly Detection with Discriminative Latent Embeddings☆184Updated 4 months ago
- Pytorch implementation of anomaly prediction.☆81Updated 4 years ago
- Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]☆65Updated last year
- This is unofficial implementation of Inpainting Transformer for Anomaly Detection(Intra)☆49Updated 3 years ago
- ☆24Updated 4 years ago
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆119Updated 8 months ago
- Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. Oral paper in ACM Multimedia 2020.☆96Updated 2 years ago
- This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).☆95Updated 4 years ago
- Official implementation of "Learning Not to Reconstruct" (BMVC 2021)☆20Updated 2 years ago
- Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction☆95Updated 2 years ago
- UnOfficial PyTorch Implementation of OCGAN!☆30Updated 5 years ago
- unoffical and work in progress PyTorch implementation of CutPaste☆246Updated 11 months ago
- Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supe…☆86Updated 2 years ago
- ☆79Updated 2 years ago
- Official codes of CVPR21 paper: Learning Normal Dynamics in Videos with Meta Prototype Network☆133Updated 2 years ago