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关于cityscapes.bisenet.R18.speed中下采样label #102

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FengZhiTeng opened this issue Dec 26, 2019 · 1 comment
Open

关于cityscapes.bisenet.R18.speed中下采样label #102

FengZhiTeng opened this issue Dec 26, 2019 · 1 comment

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@FengZhiTeng
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FengZhiTeng commented Dec 26, 2019 •
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作者你好，你在cityscapes.bisenet.R18.speed训练过程中的数据处理部分，把label下采样的1/8大小，后面用1/8 feature map与1/8 label做loss, 而且在evaluate过程中，也是用1/8 feature map与1/8 label算mIoU，但是我看一般的做法是把1/8 feature map上采样到原图大小，然后与label做loss,或者求mIoU,请问你的这种做法能在语义分割领域得到同行的认可嘛，如果可以，那你的这种做法与一般做法的优劣又在哪呐，希望得到你的回复,我想在你提出的构架的基础上，做自己的东西，我的微信号为：18434391857，希望能加你微信。
@eternalgogi92
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我也觉得这个地方有问题，应该是上采样输出和原来的label比较

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@FengZhiTeng @eternalgogi92