lukasruff / Classification-AD
Repository for the paper "Rethinking Assumptions in Anomaly Detection"
☆35Updated last year
Alternatives and similar repositories for Classification-AD
Users that are interested in Classification-AD are comparing it to the libraries listed below
Sorting:
- Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"☆29Updated 4 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆37Updated 4 years ago
- A simple and effective method for single-class classification of images☆160Updated 3 years ago
- Prior Generating Networks for Anomaly Detection☆14Updated 4 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆89Updated 9 months ago
- ☆155Updated last year
- Visually Explainable VAE☆62Updated 4 years ago
- Repository for the Explainable Deep One-Class Classification paper☆231Updated last year
- Anomaly detection for images☆13Updated 5 years ago
- Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)☆224Updated 4 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆136Updated 3 years ago
- Anomaly Detection in computer vision☆20Updated 4 years ago
- Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]☆65Updated last year
- ☆51Updated 2 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆70Updated 4 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆130Updated 4 years ago
- This is Keras code from "Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders".☆53Updated 6 years ago
- Tensorflow implementation of OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations☆23Updated 5 years ago
- Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction☆96Updated 2 years ago
- Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings☆85Updated 4 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆90Updated 3 years ago
- PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)☆93Updated 9 months ago
- Latent space autoregression for novelty detection.☆196Updated 2 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 4 years ago
- Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)☆63Updated 5 years ago
- A simple implementation of paper: Uninformed Students: Student–Teacher Anomaly Detection with Discriminative Latent Embeddings.☆37Updated 3 years ago
- Discriminative Feature Alignment for Unsupervised Domain Adaptation☆69Updated 4 years ago
- Deep One-Class Classification using Intra-Class Splitting☆15Updated 5 years ago
- This is the implementation of our paper in ECCV 2020.☆65Updated 3 years ago
- Code for the CVPR 2020 paper 'Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm'☆89Updated 4 years ago