In the first work I suppose that the new training regime/protocol could be applied also to a densnet. But It seems that we don’t have a densnet baseline in the tables applying the same protocol. Instead similar tricks are included in the 2nd paper.
For the second one it is a recent STOA model form Facebook Research (reference pytorch official impl + pretrained weights available on GitHub) but I suppose we could consider that one outside of resnet/densnet perimeter but still good for who Is interested in CNN-family STOA. I suppose that the real scope was to integrate this in new CNN-Transformer Hybrid models.