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Thank you for sharing the code.
In the pre-training phase, the parameters are saved in 'sherbet_pretrain'. Why, in the subsequent training, are the parameters not actually used in the model training …
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Since we want to train on both 2D (X-ray) and 3D data (CT and MRI), we need DINOv2 to work on 3D as well. A simple way of extending it is to apply identical spatial/color/noise transformations across …
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Do you have an example showing how to do unsupervised pre training with this code?
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Hi, I saw in the article that you reported the results of pre-training on SSV2, but I could not find its pre-training script and checkpoint. Could you please provide it? Or did I not find the link? Lo…
wjj-w updated
2 months ago
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Hi :) really really interested in this topic, looking forward for documentation.
Thanks for sharing! 🙏
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Hi,
I was wondering if I can complete the training on a per-trained model that I stopped. If yes how can I do that?
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Hello, the four pre-training model links below are invalid. Can you upload them again
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As I am new to this not quite understanding. Can you tell me if I need to use a pre-trained weights file for deblurring training? I got an error when running directly . /deblurring/tran.py file with a…
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Hello and thanks for the work.
I was wondering if you could share more info regarding the pre-training of MiT architectures.
I've read from other issues that the configs are the same as pvt_v2, b…
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I tried my hand at pre-training a few of the models I use on the MSWC base training set. I found that it was really easy to overfit (100% train accuracy) on this data (even with random time shifts):
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