agrija9 / Deep-Unsupervised-Domain-Adaptation
Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.
☆86Updated 3 years ago
Alternatives and similar repositories for Deep-Unsupervised-Domain-Adaptation:
Users that are interested in Deep-Unsupervised-Domain-Adaptation are comparing it to the libraries listed below
- Record my work in transfer learning during my postgraduate period.☆47Updated 8 months ago
- Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch☆16Updated 3 years ago
- PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)☆129Updated last year
- A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance☆152Updated 6 years ago
- An implementation of Deep Adaptation Network with pytorch☆110Updated 6 years ago
- Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling☆58Updated 2 years ago
- Code for Class Anchor Clustering loss for training a distance-based open set classifier☆71Updated 2 years ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆80Updated 3 years ago
- Deep domain adaptation networks (DDAN) library for Python with TensorFlow.☆71Updated 5 years ago
- Multiple Source Domain Adaptation with Adversarial Learning☆20Updated 4 years ago
- Implementation of paper multi-source distilling domain adaptation☆52Updated 4 years ago
- Discriminative Feature Alignment for Unsupervised Domain Adaptation☆68Updated 3 years ago
- Demo code for the MDAN paper.☆119Updated 4 years ago
- This code was finished before source code hasn't been released.☆26Updated 5 years ago
- Open set domain adaptation code DAOD☆26Updated 3 years ago
- Code for Adversarial Reweighting for Partial Domain Adaptation (NeurIPS 2021)☆32Updated last year
- Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation☆22Updated 3 years ago
- Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)☆55Updated 5 years ago
- Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) implementation in Pytorch-Lightning☆18Updated 3 years ago
- Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)☆56Updated 2 years ago
- Codes for "Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation" in CVPR 2021☆67Updated 2 years ago
- This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for…☆53Updated 6 years ago
- Code Release for "Minimum Class Confusion for Versatile Domain Adaptation"(ECCV2020)☆54Updated 4 years ago
- Domain Adaptive Neural Networks with DJP-MMD☆18Updated 3 years ago
- [CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation☆110Updated 2 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆27Updated 5 years ago
- PyTorch implementation for "Classification-Reconstruction Learning for Open-Set Recognition" CVPR 2019.☆52Updated 2 years ago
- TPAMI2020 "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice"☆75Updated 3 years ago
- Pytorch implementation of DAC-Net ("Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang. Domain Attention Consistency for Multi-Source …☆22Updated 3 years ago
- A PaddlePaddle implementation of 'Deep Subdomain Adaptation Network for Image Classification'☆18Updated 3 years ago