DenisDsh / PyTorch-Deep-CORALLinks
This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for Deep Domain Adaptation. Baochen Sun and Kate Saenko (ECCV 2016).
☆56Updated 7 years ago
Alternatives and similar repositories for PyTorch-Deep-CORAL
Users that are interested in PyTorch-Deep-CORAL are comparing it to the libraries listed below
Sorting:
- Discriminative Feature Alignment for Unsupervised Domain Adaptation☆69Updated 4 years ago
- Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling☆61Updated 3 years ago
- Official Code of Paper HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation (AAAI2020)☆44Updated 5 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 5 years ago
- Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains☆105Updated 4 years ago
- Domain Generalization via Entropy Regularization, NeurIPS'20☆66Updated 4 years ago
- Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).☆32Updated 5 years ago
- A pytorch implementation of "Domain-Adaptive Few-Shot Learning"☆147Updated 5 years ago
- An unofficial PyTorch implementation for CVPR 2019 work "Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation"☆44Updated 6 years ago
- Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".☆139Updated 6 years ago
- Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.☆53Updated 2 years ago
- Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).☆119Updated 5 years ago
- "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)☆105Updated 5 years ago
- Code for 'Open Set Domain Adaptation by Backpropagation'☆76Updated 6 years ago
- Code for CVPR-2019 paper "Progressive Feature Alignment for Unsupervised Domain Adaptation"☆33Updated 5 years ago
- Deep domain adaptation networks (DDAN) library for Python with TensorFlow.☆75Updated 6 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 5 years ago
- Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…☆92Updated 4 years ago
- TPAMI2020 "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice"☆74Updated 4 years ago
- ☆58Updated 6 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆52Updated 4 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆117Updated 5 years ago
- Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"☆175Updated 5 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)☆92Updated 6 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- Semi-supervised Domain Adaptation via Minimax Entropy☆308Updated 2 years ago
- Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)☆64Updated 4 years ago
- Published in IEEE Transactions on Artificial Intelligence☆56Updated 4 years ago