Group convolution in CARN

[qingchuanhuajuan]

Hello there
You have proposed two models, CARN and CARN-M.
Figures 2 and 3 of your paper, and paragraph 3 of the paper, show that the residual block in your CARN uses residual-E. But in your code, only CARN-M uses group convolution. The residual module used by CARN is just a normal convolution rather than a group convolution. But the last paragraph of Section 4.4 of your paper mentions that the PSNR of CARN is 28.7. I don't understand this value, it is not found in Table 1. So, is your CARN model the same as described in the code?

[nmhkahn]

Hi.

1. Only CARN-M uses residual-e block (group convs) as in the code.
2. In the section 4.4, PSNR of CARN is only calculated for the ablation study so that we decrease the training steps and so on.

[qingchuanhuajuan]

Thank you very much for your answer.
I have a question, the SRDensenet authors did not publish their experimental results images, are you training yourself? The results of my own training are not as good at SRDensenet. Can you share the test results of SRDensenet on the benchmark data set (4X)?

[nmhkahn]

As you say, since they didn't publish the result images, we only record the performance result that borrowed from their paper. For the qualitative comparison like Fig 6, we put the methods that we can get.