xiehousen / OCGAN-Pytorch
UnOfficial PyTorch Implementation of OCGAN!
☆30Updated 5 years ago
Alternatives and similar repositories for OCGAN-Pytorch:
Users that are interested in OCGAN-Pytorch 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
- This is the implementation of our paper in ECCV 2020.☆65Updated 3 years ago
- ☆50Updated 2 years ago
- Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]☆66Updated last year
- ☆87Updated 3 months ago
- Code for the CVPR 2020 paper 'Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm'☆89Updated 3 years ago
- Main P-Net(ECCV 2020) on Mvtec dataset☆19Updated 4 years ago
- ☆54Updated 3 years ago
- Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction☆93Updated 2 years ago
- Tensorflow implementation of OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations☆23Updated 5 years ago
- Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings☆86Updated 4 years ago
- PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)☆91Updated 6 months ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆89Updated 6 months ago
- Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"☆61Updated 4 years ago
- Anomaly detection for images☆13Updated 5 years ago
- Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"☆29Updated 4 years ago
- A simple and effective method for single-class classification of images☆160Updated 3 years ago
- Code to reproduce 'MOCCA: Multi-Layer One-Class Classification for Anomaly Detection'☆10Updated 3 years ago
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆118Updated 6 months ago
- unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Ano…☆71Updated 4 years ago
- ☆23Updated 5 years ago
- Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…☆82Updated 2 years ago
- Implementation of GANomaly with MNIST dataset☆18Updated 5 years ago
- ☆80Updated 4 years ago
- Student–Teacher Anomaly Detection with Discriminative Latent Embeddings☆182Updated 2 months ago
- Unsupervised Anomaly Detection and Segmentation via Deep Feature Correspondence☆19Updated 2 years ago
- An unofficial implementation of 'Inverse-Transform AutoEncoder for Anomaly Detection', paper see https://arxiv.org/abs/1911.10676☆13Updated 4 years ago
- WGAN based AnoGAN☆47Updated 4 years ago
- ☆26Updated last year
- Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation☆27Updated 3 years ago