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我在使用ICDAR2019广告牌数据训练的时候detect的loss收敛到0.015,recognize的loss收敛到20z左右就不再下降了,也尝试过调整学习率,没有什么效果,我自己在config的char里加了很多简繁体汉字,loss很高是因为中文数据集的原因吗?recognize的loss是不是太高了?我自己写的对gt数据处理的输出结果是这样的:
The text was updated successfully, but these errors were encountered:
检测的loss也有点高,我之前也试着在MLT数据集上进行训练,训练起来也很困难,不知道你用的什么训练策略?你可以先试试只训练检测分支或者只训练识别分支,看看各自能否训练到一个比较靠谱的结果。
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请问最终您训练得到了一个靠谱的结果吗?用的什么参数策略?谢谢你
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我在使用ICDAR2019广告牌数据训练的时候detect的loss收敛到0.015,recognize的loss收敛到20z左右就不再下降了,也尝试过调整学习率,没有什么效果,我自己在config的char里加了很多简繁体汉字,loss很高是因为中文数据集的原因吗?recognize的loss是不是太高了?我自己写的对gt数据处理的输出结果是这样的:


The text was updated successfully, but these errors were encountered: