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bilepeng / risnet

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Reason for choosing Convolution 1d layer #2

Open TranNgocHuyen opened 3 weeks ago

TranNgocHuyen commented 3 weeks ago

Why you choose the Convolution 1d layer with input feature channel(16,1024) and output(1,1024)? What is your relevant formula?. I look forward to hearing from you soon. Thank you so much

bilepeng commented 3 weeks ago

The corresponding equations are (7) and (8) in https://arxiv.org/pdf/2212.02967. Note that the features are computed for every RIS element. Therefore, a conv layer with kernel size of 1 can be applied.