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What is: ConvMLP?

SourceConvMLP: Hierarchical Convolutional MLPs for Vision
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

ConvMLP is a hierarchical convolutional MLP for visual recognition, which consists of a stage-wise, co-design of convolution layers, and MLPs. The Conv Stage consists of CC convolutional blocks with 1×11\times 1 and 3×33\times 3 kernel sizes. It is repeated MM times before a down convolution is utilized to express a level LL. The MLP-Conv Stage consists of Channelwise MLPs, with skip layers, and a depthwise convolution. This is repeated MM times before a down convolution is utilized to express a level L\mathcal{L}.