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Hello,
Well done on putting together this library I think it will be extremely useful for many people undertaking domain adaptation projects.
I am wondering how to create a test dataset using th…
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Hello Fabian!
My current work is unsupervised domain adaptation of kidney and tumor in abdominal CT. In order to see the effect of training, I modified the code so that the validation set during trai…
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Hi @nreimers ,
Thanks for publishing and sharing the TSDAE approach.
I am a little bit confused about the experiment on domain adaptation.
May I ask what's the training objectives of TSDAE on…
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We have released a new Domain Adaptive Semantic Segmentation dataset for land-cover classification (LoveDA).
Github Link: https://github.com/Junjue-Wang/LoveDA.
Paper is accepted by NeurIPS2021: [Pa…
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你好，我在提交 LoveDA Unsupervised Domain Adaptation 测试结果的时候，出现 Sorry, failed to upload file. 是目前还无法提交吗？
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- ICCV2021
- [arXiv](https://arxiv.org/abs/2103.16694)
- TRI-AD
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Hi @kwang2049 and @nreimers
I want to train pretrain a sentence transformer using TSDAE.
From my understanding I can either use a language model checkpoint (like `bert-base-uncased` [as it is do…
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From here, https://paperswithcode.com/sota/unsupervised-domain-adaptation-on-imagenet-c
I notice that you have the sota model of ResNet-50 on ImageNet-c
![image](https://user-images.githubusercont…
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Title - Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
Arxiv - https://arxiv.org/abs/2108.11249
Project page - https://sites.google.com/view/sfdaseg (code link will be upda…