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Great project! How can I get the paper? Thank you. #1

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Byronnar opened this issue Sep 28, 2021 · 6 comments
Open

Great project! How can I get the paper? Thank you. #1

Byronnar opened this issue Sep 28, 2021 · 6 comments

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@Byronnar
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Byronnar commented Sep 28, 2021

Great project! How can I get the paper? Thank you.

@Byronnar Byronnar changed the title Great project! How Great project! How can I get the paper? Thank you. Sep 28, 2021
@JohnMiao1
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This is a great project! Could you please provide the dataset or the split list for us to repeat your results?

@Byronnar
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Have you train custom datasets susceed ?

@Byronnar
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Wahat is the default values of losses?

    parser.add_argument("--losses", type=str, required=True,
                        help="List of list of (loss_name, loss_params, bounds_name, bounds_params, fn, weight)")

Can anyone give some examples?

@Cassieyy
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Great project! How can I get the paper? Thank you.

Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation in MICCAI 2021

@Byronnar
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Thank you, But I can not run this code, there is no default params. Have you train susceed ?

@751994772
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损失的默认值是什么?

    parser.add_argument("--losses", type=str, required=True,
                        help="List of list of (loss_name, loss_params, bounds_name, bounds_params, fn, weight)")

谁能举一些例子?

Hi, did you find the parameter with default value?

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4 participants