daitao / SAN

Second-order Attention Network for Single Image Super-resolution (CVPR-2019)
549 stars 106 forks source link

How to evaluate SAN+? #9

Open fengshenfeilian opened 4 years ago

fengshenfeilian commented 4 years ago

Thanks for your great work. From the paper I found that SAN+ improved performance by a large margin but I don't know how to evaluate that. Hopefully you can share the tips/. Thanks a lot.

csjcai commented 4 years ago

You can refer to the CVPR 2016 paper: "Seven ways to improve example-based single image super-resolution". Methods with + utilize the 'Enhanced prediction' (Section 3.5).