Methods › Computer Vision › Pooling Operations › RMS Pooling
Root-of-Mean-Squared Pooling
RMS Pooling
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
RMS Pooling is a pooling operation that calculates the square mean root for patches of a feature map, and uses it to create a downsampled (pooled) feature map. It is usually used after a convolutional layer.
zⱼ = √(1/M∑ᴹᵢ₌₁uij²)
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