Itsanewday

Results 4 comments of Itsanewday

I download the papers from arxiv: https://arxiv.org/abs/1605.07146v1. The main difference is in the table 5. Thanks a lot! @szagoruyko

Actually,I reproduced the wide residual networks, but i got slightly worse results. eg. wrn28-10 with top1err 4.20% . And i do exactly the same augmentation and preprocess. What should i...

我觉得这里的causal_embed 应该对应为论文的 ![image](https://user-images.githubusercontent.com/21170245/156127868-eed89b21-c971-4f60-ab02-0d562f070421.png) 你再看看论文

> 是需要自己复现的 > […](#) > 2023年1月5日 上午10:05,Itsanewday ***@***.***> 写道: 作者您好,首先感谢公开代码。我想问下论文里与其他公开的论文结果做了一些比较,这些其他论文的结果是您自己复现的吗?比如SMORE,它是针对每个样本单独训练一个超分辨模型,请问这个该怎么实现?谢谢 — Reply to this email directly, view it on GitHub , or unsubscribe . You are receiving this because you...