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The test effect of the data set is much worse than the indicators reported in the original paper,How to solve it? #19
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Hello, I have the same problem, have you solved it now? |
use some trick on dataset |
Can you elaborate? |
sorry this model, I can not arrive acurracy in his paper .I change some components
…---- Replied Message ----
| From | ***@***.***> |
| Date | 02/25/2023 16:15 |
| To | ***@***.***> |
| Cc | ***@***.***>***@***.***> |
| Subject | Re: [jeya-maria-jose/UNeXt-pytorch] The test effect of the data set is much worse than the indicators reported in the original paper,How to solve it? (Issue #19) |
use some trick on dataset
Can you elaborate?
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I used my own dataset and got very low metrics, iou and dice less than 0.5, do you have a suggestion for a solution?
------------------ 原始邮件 ------------------
发件人: "jeya-maria-jose/UNeXt-pytorch" ***@***.***>;
发送时间: 2023年2月25日(星期六) 下午4:20
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主题: Re: [jeya-maria-jose/UNeXt-pytorch] The test effect of the data set is much worse than the indicators reported in the original paper,How to solve it? (Issue #19)
sorry this model, I can not arrive acurracy in his paper .I change some components
…---- Replied Message ----
| From | ***@***.***> |
| Date | 02/25/2023 16:15 |
| To | ***@***.***> |
| Cc | ***@***.***>***@***.***> |
| Subject | Re: [jeya-maria-jose/UNeXt-pytorch] The test effect of the data set is much worse than the indicators reported in the original paper,How to solve it? (Issue #19) |
use some trick on dataset
Can you elaborate?
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Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you commented.Message ID: ***@***.***>
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Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you commented.Message ID: ***@***.***>
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