Can attention enable MLPs to catch up with CNNs?

In the first week of May 2021,researchers from four different institutions:Google,Tsinghua University,Oxford University,and Facebook shared their latest work [1-4] on arXiv.org at almost the same time,each proposing new learning architectures,consisting mainly of linear layers,claiming them to be comparable or superior to convolutional-based models.This sparked immediate discussion and debate in both academic and industrial communities as to whether MLPs are sufficient,many thinking that learning architectures are returning to MLPs.Is this true?