Architecture
MLP-Mixer
Vision architecture using only multilayer perceptrons — no attention, no convolutions.
Definition
MLP-Mixer alternates token-mixing and channel-mixing MLPs on a grid of image patches, achieving competitive ImageNet accuracy without attention or convolution. It shows that strong inductive biases are not strictly necessary at scale.
Common use cases
- Vision research
- Benchmarks