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Thanks for the code.
I changed the dataset. But the adaptation process didn't converge( acc=0.5 represents convergence?), and just get 14% domain adaptation accrucy.
Epoch [457/600] Step [100/200]…
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Dear All,
together with my colleagues I have been working over this year on two image processing operations `Feature Distribution Matching` and `Histogram Matching` in multiple color spaces for …
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Hi,
Could you please add our new work into this list? The paper is about learning Disentangled Representations to realize domain adaptation.
You could find the paper here: https://arxiv.org/abs/…
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Hi, based on the results attached, it is
still changing the original architecture of the source image and adding extra objects to the translated image? https://github.com/xXCoffeeColaXc/DiffusionBase…
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Dear Author,
Sorry to distrub you again.
In your paper, you mentioned that you reproduced two DAFormer-based domain adaptation experiments from Potsdam to Vaihingen and from Vaihingen to Potsdam…
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Dear All,
first of all, thanks for making this project available, some great work here! Together with my colleagues I have been working over the last year on `unsupervised Domain Adaptation (DA)…
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I see that this benchmark network is from sec3.1 in the MMT paper. How is it trained? Does it require collaborative training?
GJTNB updated
3 years ago
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Hi, thanks for your great work.
I wonder is that possible to upload the domain adaptation part and other materail of the for further research.
Thanks 😊
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Hi
I want to customize mmaction2 and use it for Domain adaptation.
Therefore, I need define multiple datasets and dataloaders.
Is there any tutorial or cookbook related to this?
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## 0. Paper
- paper: [[link](https://aclanthology.org/2022.tacl-1.53/)]
- TACL2022
## 1. What is it?
They evaluate the temporal effects for downstream tasks.
## 2. What is amazing compared …