AhmedFrikha / Few-Shot-One-Class-Classification-via-Meta-LearningLinks
A Meta-Learning Approach for Few-Shot Anomaly Detection and One-Class Classification
☆38Updated 3 years ago
Alternatives and similar repositories for Few-Shot-One-Class-Classification-via-Meta-Learning
Users that are interested in Few-Shot-One-Class-Classification-via-Meta-Learning are comparing it to the libraries listed below
Sorting:
- Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]☆68Updated last month
- Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supe…☆89Updated 3 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆37Updated 4 years ago
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆75Updated 6 years ago
- ☆155Updated last year
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆117Updated last year
- Codes for IJCAI2020 paper "Unsupervised Representation Learning by Predicting Random Distances” https://arxiv.org/abs/1912.12186☆29Updated 5 years ago
- Codes for "Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier"☆32Updated 4 years ago
- Repository for the paper "Rethinking Assumptions in Anomaly Detection"☆36Updated 2 years ago
- Discriminative Feature Alignment for Unsupervised Domain Adaptation☆69Updated 4 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆90Updated last year
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆58Updated 3 years ago
- Imbalanced Image Classification with Complement Cross Entropy (PRL 21)☆52Updated 2 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…☆93Updated 4 years ago
- This repository is the official implementation Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with S…☆117Updated last year
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆120Updated 2 years ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆37Updated 4 years ago
- A pytorch implementation of "Domain-Adaptive Few-Shot Learning"☆148Updated 5 years ago
- An unofficial implementation of 'Inverse-Transform AutoEncoder for Anomaly Detection', paper see https://arxiv.org/abs/1911.10676☆13Updated 5 years ago
- Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"☆67Updated 5 years ago
- Example of one shot learning and few shot learning with omniglot dataset.☆27Updated 4 years ago
- Code for 'Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning'☆39Updated 3 years ago
- The code for "SCL: Self-supervised contrastive learning for few-shot image classification"☆17Updated last year
- Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)☆63Updated 6 years ago
- Unsupervised-Defect-Segmentation anomaly detection☆30Updated 6 years ago
- awesome few shot / meta learning papers☆53Updated 4 years ago
- Sequence modeling benchmarks and temporal convolutional networks https://github.com/locuslab/TCN☆24Updated 6 years ago
- PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)☆95Updated last year
- ☆55Updated 4 years ago