h19920918 / memaeLinks
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)
☆63Updated 6 years ago
Alternatives and similar repositories for memae
Users that are interested in memae are comparing it to the libraries listed below
Sorting:
- unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Ano…☆73Updated 4 years ago
- Code for the CVPR 2020 paper 'Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm'☆89Updated 4 years ago
- ☆81Updated 5 years ago
- MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsuper…☆500Updated 3 years ago
- ☆50Updated 2 years ago
- ☆55Updated 4 years ago
- UnOfficial PyTorch Implementation of OCGAN!☆30Updated 5 years ago
- PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)☆94Updated last year
- ☆80Updated 2 years ago
- Code to reproduce 'MOCCA: Multi-Layer One-Class Classification for Anomaly Detection'☆10Updated 3 years ago
- ☆159Updated 2 years ago
- Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"☆29Updated 5 years ago
- Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings☆87Updated 4 years ago
- Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supe…☆87Updated 2 years ago
- An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.☆357Updated 10 months ago
- Source code for Skip-GANomaly paper☆196Updated 2 years ago
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆117Updated last year
- Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]☆66Updated 2 years ago
- ☆90Updated 10 months ago
- Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)☆225Updated 4 years ago
- Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction☆97Updated 3 years ago
- Latent space autoregression for novelty detection.☆197Updated 2 years ago
- Repository for the Explainable Deep One-Class Classification paper☆233Updated 2 years ago
- A simple and effective method for single-class classification of images☆161Updated 3 years ago
- An unofficial implementation of 'Inverse-Transform AutoEncoder for Anomaly Detection', paper see https://arxiv.org/abs/1911.10676☆13Updated 5 years ago
- Anomaly detection for images☆13Updated 5 years ago
- Student–Teacher Anomaly Detection with Discriminative Latent Embeddings☆186Updated 9 months ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆129Updated 6 years ago
- Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"☆65Updated 5 years ago
- PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…☆35Updated 4 years ago