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3 changes: 3 additions & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@ The resources only focus on unsupervised domain adapation(UDA) and these include

- [Unsupervised Domain Adaptation](#unsupervised-domain-adaptation)
- [Conference Papers](#conference-papers)
- [2020 Conference Papers](#2020-conference-papers)
- [2019 Conference Papers](#2019-conference-papers)
- [2018 Conference Papers](#2018-conference-papers)
- [Conference Papers befor 2018](#conference-papers-befor-2018)
Expand All @@ -20,6 +21,8 @@ The resources only focus on unsupervised domain adapation(UDA) and these include
### 2020 Conference Papers
| Abbreviation | Paper Title | Source Link | Code | Tags |
| ------------ | ----------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------- |
| **IAST** | Instance Adaptive Self-Training for Unsupervised Domain Adaptation | [ECCV2020](https://arxiv.org/abs/2008.12197) | [Pytorch(Official)](https://github.com/bupt-ai-cz/IAST-ECCV2020) | `Self-training` |
| - | Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning | [ICASSP2020](https://arxiv.org/abs/2002.08587) | - | `Adversarial Training` `Medical` |
| **MRNet** | Unsupervised Scene Adaptation with Memory Regularization in vivo | [IJCAI2019](https://arxiv.org/pdf/1912.11164.pdf) | [Pytorch(Official)](https://github.com/layumi/Seg-Uncertainty) | `Memory Regularization` |

### 2019 Conference Papers
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