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MORAN_v2代码与paper的差异点总结 #73
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客气了,正如README里边有提到的,我现在详细汇总一下: |
谢谢回应。我现在利用你在网盘分享的nips2014和cvpr 2016数据作为训练集,利用IC13数据作为验证集,先利用lr 1迭代103000步(batchsize 64),然后lr 0.01迭代179700步(9个epoch),直接端对端训练的,目前取得的最高准确率是90.34%,与您paper以及后面更新的MORAN_v2还有一点差距,后续如果要继续提高准确率复现论文结果,请问有什么建议吗?谢谢。 |
我这边是学习率设置为1迭代3个epoch之后,把学习率降为0.1再迭代3个epoch。您可以在我给的 |
感谢作者分享代码!
[作者更新的v2代码实际效果在几个数据集上有诸多提升,但是paper里面的描述好像依然描述的版本1的方法。例如,作者在别的issue里面提到“MORAN_v2去掉了x维度”。
请问v2训练的时候依然还是采用paper里面提到的‘Curriculum Training’流程么?
另外,如果作者时间方便话,是否可以在这个issue里面回顾一下v2代码和paper主要的差异点?
再次感谢!
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