PramuPerera / OCGAN
☆51Updated 2 years ago
Alternatives and similar repositories for OCGAN:
Users that are interested in OCGAN are comparing it to the libraries listed below
- A simple and effective method for single-class classification of images☆160Updated 3 years ago
- Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)☆224Updated 4 years ago
- Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"☆29Updated 4 years ago
- Latent space autoregression for novelty detection.☆196Updated 2 years ago
- Code for the CVPR 2020 paper 'Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm'☆89Updated 4 years ago
- Tensorflow implementation of OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations☆23Updated 5 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆129Updated 4 years ago
- Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)☆63Updated 5 years ago
- UnOfficial PyTorch Implementation of OCGAN!☆30Updated 5 years ago
- ☆79Updated 4 years ago
- Source code for Skip-GANomaly paper☆195Updated 2 years ago
- ALAD (Proceedings of IEEE ICDM 2018) official code☆135Updated 6 years ago
- ☆23Updated 5 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆128Updated 5 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆89Updated 9 months ago
- ☆79Updated 2 years ago
- Repository for the paper "Rethinking Assumptions in Anomaly Detection"☆35Updated last year
- ☆62Updated 5 years ago
- Implementation of GANomaly with MNIST dataset☆17Updated 5 years ago
- MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsuper…☆484Updated 2 years ago
- An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"☆98Updated 3 years ago
- An unofficial implementation of 'Inverse-Transform AutoEncoder for Anomaly Detection', paper see https://arxiv.org/abs/1911.10676☆13Updated 4 years ago
- ☆25Updated 5 years ago
- unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Ano…☆72Updated 4 years ago
- Repository for the Explainable Deep One-Class Classification paper☆231Updated last year
- This is Keras code from "Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders".☆53Updated 6 years ago
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆57Updated 6 years ago
- Pytorch Re-implement of ano_pre_cvpr2018, flownet2 / lite-flownet used.☆49Updated 3 years ago
- Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection…☆193Updated 6 years ago
- Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)☆278Updated 6 years ago