abhijitbendale / OSDN
Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
☆269Updated 6 years ago
Alternatives and similar repositories for OSDN:
Users that are interested in OSDN are comparing it to the libraries listed below
- Keras implementation for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016☆83Updated 2 years ago
- Library for Meta-Recognition and Weibull based calibration of SVM data.☆83Updated 2 years ago
- A simple training/evaluation code of open set recognition using OpenMax (https://arxiv.org/abs/1511.06233)☆54Updated 7 years ago
- ☆70Updated 6 years ago
- Open Set Recognition☆158Updated 3 years ago
- Counterfactual Image Generation☆85Updated 5 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
- Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"☆285Updated 2 years ago
- [TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition☆167Updated last year
- This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.☆50Updated 6 years ago
- PyTorch implementation for "Classification-Reconstruction Learning for Open-Set Recognition" CVPR 2019.☆52Updated 3 years ago
- ☆51Updated 10 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆271Updated 6 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 3 years ago
- A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recog…☆1,129Updated last year
- Meta Learning for Semi-Supervised Few-Shot Classification☆560Updated 5 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆227Updated 6 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆179Updated 5 years ago
- Code for Class Anchor Clustering loss for training a distance-based open set classifier☆70Updated 2 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆116Updated 4 years ago
- Temporal ensembling for semi-supervised learning☆158Updated 8 years ago
- [CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition☆159Updated 4 years ago
- A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.☆337Updated 3 years ago
- ICCV2021 - training a post-hoc lightweight GAN-discriminator for open-set recognition☆130Updated 2 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆222Updated 4 years ago
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆556Updated 3 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆488Updated last year
- "Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)☆164Updated 2 years ago
- Open-set Recognition with Adversarial Autoencoders☆37Updated 6 years ago
- ☆255Updated 3 years ago