sail-sg/metaformer

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MetaFormer Baselines for Vision This is a PyTorch implementation of several MetaFormer baslines including IdentityFormer, RandFormer, ConvFormer and CAFormer proposed by our paper "MetaFormer Baselines for Vision". Figure 1: Performance of MetaFormer baselines and other state-of-the-art models on ImageNet-1K at 224x224 resolution. The architectures of our proposed models are shown in Figure 2. (a) IdentityFormer/RandFormer achieve over 80%/81% accuracy, indicating MetaFormer has solid lower...