lwneal / counterfactual-open-setLinks
Counterfactual Image Generation
☆83Updated 5 years ago
Alternatives and similar repositories for counterfactual-open-set
Users that are interested in counterfactual-open-set are comparing it to the libraries listed below
Sorting:
- Code for CVPR2020 paper: Conditional Gaussian Distribution Learning for Open Set Recognition☆39Updated 5 years ago
- Source code for ICML2021 Paper - Learning Bounds for Open-set Learning☆35Updated 3 years ago
- ☆69Updated 6 years ago
- A simple training/evaluation code of open set recognition using OpenMax (https://arxiv.org/abs/1511.06233)☆56Updated 7 years ago
- Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.☆56Updated 5 years ago
- Re-implementation of the published ECCV '20 paper on reciprocal points for open-set recognition. Currently the state-of-the-art in open-s…☆24Updated 4 years ago
- Library for Meta-Recognition and Weibull based calibration of SVM data.☆83Updated 2 years ago
- Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)☆59Updated 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
- Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ba…☆44Updated 2 years ago
- pytorch implementation of Large Scale Incremental Learning☆66Updated 4 years ago
- code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"☆40Updated 2 years ago
- Code for Class Anchor Clustering loss for training a distance-based open set classifier☆71Updated 2 years ago
- Generative Feature Replay For Class-Incremental Learning☆37Updated 5 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆119Updated 4 years ago
- ☆51Updated 10 years ago
- ☆58Updated 2 years ago
- The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2…☆50Updated 4 years ago
- Code for 'Open Set Domain Adaptation by Backpropagation'☆75Updated 6 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 4 years ago
- Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)☆93Updated 5 years ago
- Code release for Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering (CVPR2020-Oral).☆82Updated 3 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 3 years ago
- Domain Generalization via Entropy Regularization, NeurIPS'20☆66Updated 4 years ago
- This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.☆51Updated 6 years ago
- Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]☆30Updated 5 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆48Updated last year
- Code release for Transferable Curriculum for Weakly-Supervised Domain Adaptation (AAAI2019)☆18Updated 5 years ago
- code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"☆119Updated 2 years ago
- Keras implementation for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016☆83Updated 2 years ago