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请问 是怎么防止过拟合的? #1
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参数量大不意味是过拟合。我们有用数据扩充和深层监督来防止过拟合。 |
能否展示一下你们的训练和验证loss曲线,师弟一直复现不出来,托我咨询一下。
…---- 回复的原邮件 ----
| 发件人 | Gongyang ***@***.***> |
| 日期 | 2022年05月13日 21:09 |
| 收件人 | ***@***.***> |
| 抄送至 | ***@***.******@***.***> |
| 主题 | Re: [MathLee/ACCoNet] 请问 是怎么防止过拟合的? (Issue #1) |
参数量大不意味是过拟合。我们有用数据扩充和深层监督来防止过拟合。
在 2022-05-13 20:54:41,"epoch8260" ***@***.***> 写道:
Total params: 102.552034M,难道显著性检测的结果都是过拟合来的嘛
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深监督是不能防止过拟合的,深监督是为了更好地梯度回传,加不加深监督,对于256✖️256的输入,意义不大
…---- 回复的原邮件 ----
| 发件人 | Gongyang ***@***.***> |
| 日期 | 2022年05月13日 21:07 |
| 收件人 | ***@***.***> |
| 抄送至 | ***@***.******@***.***> |
| 主题 | Re: [MathLee/ACCoNet] 请问 是怎么防止过拟合的? (Issue #1) |
Total params: 102.552034M,难道显著性检测的结果都是过拟合来的嘛
参数量大不意味是过拟合。我们有用数据扩充和深层监督来防治过拟合。
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深监督在最早提出的论文中是有防止过拟合这一说法的,曾经在另外文章审稿意见中遇到过,查阅过相关文献。这也是SOD中常用的trick. |
这个工作完成的比较早,录用的比较晚,我们在服务器上仅保留了一个比较好的结果,并公布了权重。真是抱歉。 |
Total params: 102.552034M,难道显著性检测的结果都是过拟合来的嘛
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