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# Overview
## Universal Domain Adaptation through Self Supervision
https://arxiv.org/abs/2002.07953
![image](https://user-images.githubusercontent.com/6381645/85234560-68433c00-b40e-11ea-999…
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Can we use test image when training the domain adaptation model?
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Hi, thanks for your wonderful work. From the paper, the batch normalization statistics updates for combined source and target images, and keep fixed when computing source images for the second time. H…
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Hi,
Based on my understanding of these two settings, HomogeneousNoMixture will pass test samples within one domain and the other without mixing them together, but CrossMixture will first merge two d…
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## 🚀 Feature
Extension of the methods in `ot.da.*` for regression problems (by now only classification (?)).
### Motivation
I already used `ot.da.SinkhornLpl1Transport` for domain adaptation in (…
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Institute: Berkeley, OpenAI, BAIR
URL: https://arxiv.org/pdf/1711.03213.pdf
Interest:3
Keyword: CycleGAN, Multi-modal,
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Hi Yuejiang,
Thanks for maintaining this awesome list!
I would like to request to add our ECCV 2022 paper: "Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recog…
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Hi! Thank you for the author's sharing!
I met some problem in training source domain. The model of ct2mr and mr2ct w/o adaptation is 0.68 and 0.49 for me, which is slightly different from the pape…
YYinn updated
2 months ago
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Hi,
I want to follow training AnimateDiff.
In the tutorial (https://github.com/guoyww/AnimateDiff/blob/main/__assets__/docs/animatediff.md)
first I finetune with configs/training/v1/image_finetune…
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```Without cell-specific features, another solution could be to use domain adaptation methods where the model trains on a source cell type and uses unsupervised feature extraction methods to predict o…