All Convolutions in a very dense block are ReLU-activated and use batch normalization. Channel-intelligent concatenation is simply probable if the peak and width dimensions of the information keep on being unchanged, so convolutions within a dense block are all of stride 1. Pooling layers are inserted between dense blocks https://financefeeds.com/wfes-2025-priorities-transparency-esg-innovation-regulation-of-public-and-private-markets/