I read the wavenet paper and I am clear about why they used Dilated Convolution. According to it they used this for give the causal property for the model. Where they wanted to introduced a sequential behavior . But lot of posts say it can use to increase the receptive field. Can some give me simple examples where we can use this in signal processing domain CNN + LSTM) and vision domain.
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