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May I know why Domain-Augmentation can improve Open Domain Generalization?
What's the idea behind it?
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Hello,
How to reproduce the distances of Table 1 in the paper ?
When running the script of `dataset/domain_generalization_cat_dog.py`, I get
```
Distance from dog(cabinet)+dog(bed) to dog(shel…
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Thank you very much for sharing the code, excellent work.
I'm trying to train the framework using synthetic data for domain generalization with unlabeled real data. Is there any documentation regardi…
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![image](https://user-images.githubusercontent.com/129525/77123980-bb1af980-6a95-11ea-871b-eaa89deadb04.png)
https://arxiv.org/pdf/2003.06498.pdf
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Is there a way to adapt domainbed for single domain generalization?
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List and discuss competition ideas for future iterations of FGVC, etc
- Geographic domain generalization
- Camera and illumination domain generalization
- Object tracking in video
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- https://arxiv.org/abs/2104.09841
- 2021
一般的に深層学習の実験環境では、学習データセットとテストデータセットが同じ分布からサンプリングされていることを前提としています。
しかし、実世界では、2つのデータセット間の分布の違いであるドメインシフトが発生することがあり、これがモデルの汎化性能を阻害する大きな要因となる。
この問題を解決するための研究…
e4exp updated
3 years ago
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https://arxiv.org/abs/1710.03463
- Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
- Submitted on 10 Oct 2017
TMats updated
6 years ago
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For domain generalization, how could you train the model without same classes between only one source domain and target domain, like Market1501 and DukeMTMC-reID ? Could you release the code of person…
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1.MixStyle Neural Networks for Domain Generalization and Adaptation
2.Domain Generalization with MixStyle
This is confusing to me