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Keyword: MetaFormer ×Clear all

1 claim from 1 paper

1. Computer Science › Advanced Neural Network Applications

   MetaFormer Baselines for Vision

   Yu, Si, Zhou et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023

   The paper builds baseline MetaFormer vision models with basic token mixers and reports that they perform strongly, with CAFormer reaching 85.5% on ImageNet-1K without external data or distillation.

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   1. UncheckedA MetaFormer vision model using a random matrix to mix tokens, called RandFormer, reaches over 81% accuracy, beating the identity-mapping IdentityFormer.“When specifying the token mixer as even a random matrix to mix tokens, the resulting model RandFormer yields an accuracy of >81%, outperforming IdentityFormer.”