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Hi, thank you for your amazing work. Could you add this paper to the repo?
Paper is accepted to Image and Vision Computing journal.
Title: An Unsupervised Domain Adaptation Scheme for Single-Stage …
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Hi @hellowangqian
Thanks for the great work. I was wondering if this method can be applied to the Partial Domain Adaptation setting, where the number of target domain classes is a subset of that o…
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I want to point out that your prototype is so similar to the category anchor in 'Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation'.
Could you please show me the diff…
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* AI News
* https://www.cnbc.com/2021/04/11/microsoft-in-advanced-talks-to-buy-speech-recognition-company-nuance.html?
* MS가 Nuance를??
* MS 헬스케어 산업 확장을 위한 교두보?
* https://digitalhumans.…
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### Description
I have enjoyed using org-roam thus far and been using that quite extensively. Though I can't help noticing that the mode becomes sluggish very quickly when there are a few hundred n…
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You are solving **unsupervised** domain adaptation, however, I find out **you use target label** in your training procedure.
That is cheating ！！
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I am familar with your paper ADVENT and paper BDL's SSL, so I directly read your code. If my understanding is correct, the main
difference between esl and ssl is in below code:
x = predicted…
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Hi,
How can we use this method as unsupervised domain adaptation with object detection and run object detection on unlabelled target domain data like clipart
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Hi. Thank you for your great efforts to maintain such an unbelievable exhaustive list for domain adaptation research.
Our paper, "Partially-Shared Variational Auto-encoders for Unsupervised Domain …
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Hi, I constructed a clustering-based unsupervised baseline from your code, which obtains much higher performance (Market: rank1=91.1%,mAP=79.5%) than the pure unsupervised version in your paper (w/o s…