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May, 2021
RepMLP: 将卷积重新参数化为全连接层,用于图像识别
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
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Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding
TL;DR
通过在全连接层中加入留先验,我们提出了 RepMLP 这个用于图像识别的神经网络模块。我们将卷积层嵌入 RepMLP 中,从而结合了全局表征能力和位置感知能力,并通过在 CNN 中插入 RepMLP 进一步提高了准确性。
Abstract
We propose
repmlp
, a multi-layer-perceptron-style
neural network
building block for
image recognition
, which is composed of a series of fu
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