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你好,我想问问最后的最优权重是怎么选取的,是根据总的测试文件进行选取的最优吗,还是根据各个不同的测试数据集进行测试分别选取的
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将所有的测试集汇总,取其最优,详细实现参考https://github.com/DengPingFan/Polyp-PVT/blob/cd71fbf9fcd8c32cc0f33699f4e0186073c64dc4/Train.py#L117C9-L117C18
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那考虑要训练资源有限,可以分别对Kvasir和ClinicDB的数据集进行测试保留权重,再分别验证其各自的泛化能力吗
就是我的模型可能参数比较多,达不到和您一样的训练标准
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你好,我想问问最后的最优权重是怎么选取的,是根据总的测试文件进行选取的最优吗,还是根据各个不同的测试数据集进行测试分别选取的
The text was updated successfully, but these errors were encountered: