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View Code? Open in Web Editor NEWTransformers w/o Attention, based fully on MLPs
Transformers w/o Attention, based fully on MLPs
Hi, we published a while a go this paper as well:
FNet: Mixing Tokens with Fourier Transforms https://arxiv.org/abs/2105.03824
Does FNet belong? After all, DCT can be implemented (and is on TPUs) in one matrix-multiplication accross patch-dimension.
A new paper on this topic:
paper: https://arxiv.org/pdf/2212.13350.pdf
code: https://github.com/XiaoxinHe/Graph-MLPMixer
Thanks!
Title:
MixVPR: Feature Mixing for Visual Place Recognition
PDF: https://arxiv.org/pdf/2303.02190.pdf
GitHub: https://github.com/amaralibey/MixVPR
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