Deep Transfer Learning on PyTorch
This directory contains some re-implemented Pytorch codes for deep transfer learning.
Codes
- DaNN：Domain-adaptive Neural Network
- DAN: Learning Transferable Features with Deep Adaptation Networks
- Deep Coral: Deep CORAL Correlation Alignment for Deep Domain Adaptation
- Finetune: finetune using AlexNet and ResNet
- DANN/RevGrad: Domain adversarial neural network)
- MRAN (Multi-representation adaptation network for cross-domain image classification, Neural Networks 2019) [72]
- Pytorch
Results on Office31
| Method | A - W | D - W | W - D | A - D | D - A | W - A | Average | | —- | —- | —- | —- | —- | —- | —- | —- |
| DAN | 83.8±0.4 | 96.8±0.2 | 99.5±0.1 | 78.4±0.2 | 66.7±0.3 | 62.7±0.2 | 81.3 |
| DCORAL | 77.7±0.3 | 97.6±0.2 | 99.7±0.1 | 81.1±0.4 | 64.6±0.3 | 64.0±0.4 | 80.8 |
Contact
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