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
- This is the implementation of our paper in ECCV 2020.☆65Updated 3 years ago
- Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)☆63Updated 5 years ago
- Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]☆65Updated last year
- ☆51Updated 2 years ago
- ☆87Updated 4 months ago
- ☆54Updated 3 years ago
- Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings☆86Updated 4 years ago
- Main P-Net(ECCV 2020) on Mvtec dataset☆19Updated 4 years ago
- Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"☆61Updated 4 years ago
- PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)☆92Updated 8 months ago
- Code for the CVPR 2020 paper 'Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm'☆89Updated 4 years ago
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆119Updated 8 months ago
- Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction☆94Updated 2 years ago
- Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"☆29Updated 4 years ago
- Implementation of GANomaly with MNIST dataset☆18Updated 5 years ago
- Student–Teacher Anomaly Detection with Discriminative Latent Embeddings☆182Updated 4 months ago
- Tensorflow implementation of OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations☆23Updated 5 years ago
- WGAN based AnoGAN☆47Updated 4 years ago
- unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Ano…☆71Updated 4 years ago
- Anomaly detection for images☆13Updated 5 years ago
- Code to reproduce 'MOCCA: Multi-Layer One-Class Classification for Anomaly Detection'☆10Updated 3 years ago
- ☆80Updated 4 years ago
- ☆23Updated 4 years ago
- Unsupervised Anomaly Detection and Segmentation via Deep Feature Correspondence☆20Updated 2 years ago
- This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).☆95Updated 4 years ago
- ☆26Updated last year
- A simple and effective method for single-class classification of images☆160Updated 3 years ago
- Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch☆117Updated 2 years ago
- Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation☆27Updated 3 years ago
- Visually Explainable VAE☆63Updated 4 years ago