Comments (2)
Hi,
The reasons are two fold: 1. In our previous investigations (other super-resolution networks, e.g., SRResNet) about the choice of activation function, we didn't observe obvious improvement by using other activation functions, e.g., PReLU. 2.We use ReLU to keep fairer comparisions with other SR networks, e.g., EDSR. We expect the improvement comes more from network structure design than from the change of activation function.
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I see , Thanks a lot.
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