poolformer is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named poolformer among their alternatives. The relationship is not symmetric — how poolformer rates them is a separate judgement, made when poolformer is analysed in its own right.
calls poolformer “PoolFormer implementation; choose it when you need a simple non-attention metaformer baseline.”
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
calls poolformer “Choose it if a simple PoolFormer-style backbone is easier to adapt and you don't need shifted-window engineering, though the repo is old.”
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
calls poolformer “choose for a lightweight MetaFormer baseline if you avoid ViT and don't mind an unmaintained repo.”