Contact Me:
✉ Email: [email protected]
✧ Google Scholar: https://scholar.google.com/citations?user=DHgNKnAAAAAJ&hl=en -->
Official pytorch implement for “Transformer-Based Source-Free Domain Adaptation”
Contact Me:
✉ Email: [email protected]
✧ Google Scholar: https://scholar.google.com/citations?user=DHgNKnAAAAAJ&hl=en -->
Thanks for your work!
Have you tried other attention modules instead of Transformer?
And only add transformer improved 1% than SHOT baseline on Office31 in your paper's ablation study, can other attention module also improve?
Thank you!
Which journal or conference is the paper in?
I notice that the model is not implemented as the paper depicts. And, is it feasible to train ResNetV2+ViT on a single gpu? I tried to run it on a 2080Ti, but it reported an "CUDA out of memory" error.
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