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Dear authors,
It is of great pleasure to read your recent paper "Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentati…
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I saw that when preparing the dataset, the label JSON file of the training dataset in the target domain was also in the directory. Did you use the gt label of the training dataset in the target domain…
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Hi, @JunguangJiang, thanks for sharing the code.
I have read the paper [Decoupled Adaptation for Cross-Domain Object Detection](https://arxiv.org/abs/2110.02578), but I found that how to generate pro…
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Hi, I see that in your code, you increase the alpha values every epoch
```
if (iteration % data_len) == 0:
current_epoch += 1
i = 1
p = float( i + current_epoch * data_len) / max_…
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Thank you for meticulously maintaining this repository!
Could you add our recent work on unsupervised domain adaptation (UDA), semi-supervised domain adaptation (SSDA), and weakly-supervised domain…
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Thank you for meticulously maintaining this repository!
Could you add our recent work on unsupervised domain adaptation (UDA) for LiDAR segmentation? We built the first benchmark for UDA in LiDAR s…
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excellent work！Looking forward to uploading the relevant code about the paper “Unsupervised Domain Adaptation through Language Modeling”.
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Thanks for sharing this great work. Equivariant Imaging is a great idea. However, I have a few questions about the mechanism/motivation of this idea.
Yes, clean signals are hard to obtain in many c…
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Thank you for meticulously maintaining this repository!
Could you add our recent work on LiDAR segmentation? We built the first benchmark for unsupervised domain adaptation (UDA) in LiDAR segmentat…
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Example: https://mila.quebec/en/publications/
It would be nice to reuse the same code as in the Mila website. Not sure if that's 'easily' possible via RTD