Pooling Operations

Max Pooling

Max Pooling is a pooling operation that calculates the maximum value for patches of a feature map, and uses it to create a downsampled (pooled) feature map. It is usually used after a convolutional layer. It adds a small amount of translation invariance - meaning translating the image by a small amount does not significantly affect the values of most pooled outputs.

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Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Semantic Segmentation 65 7.49%
Image Segmentation 41 4.72%
Denoising 33 3.80%
Medical Image Segmentation 25 2.88%
Image Classification 24 2.76%
Image Generation 23 2.65%
Computational Efficiency 22 2.53%
Deep Learning 17 1.96%
Object Detection 16 1.84%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories