Hi,
I think by the repetition, they mean having same blocks connected to each other sequentially rather than passing input to a conv layer multiple times.
In the latter case, for instance, if you have a 3-channel input, then after first conv block, you will get 64-channel tensor. Then how can one use same conv block which only accepts 3-channel input for your current tensor which has 64-channels after first iteration? Do they provided any information about it?
The reason I think they just meant to have same block is that they wanted to simply model structure in the given table. Altought you can make sure if they provided information about model size or number of parameters.
Bests