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MLP-Mixer: An all-MLP Architecture for Vision

We propose the MLP-Mixer architecture (or “Mixer” for short), a competitive but conceptually and technically simple alternative, that does not use convolutions or self-attention. Instead, Mixer’s architecture is based entirely on multi-layer perceptrons (MLPs) that are repeatedly applied across either spatial locations or feature channels.

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