Construct · 1 fields · 1 citations

squeeze-and-excitation network: a standalone construct

One name. One construct. A landmark on the map.

● anchor · a standalone construct Nearest construct by meaning·not indexed

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Deep learning

a convolutional block that pools each channel into a summary, learns per-channel weights from those summaries and rescales the channels by them.

In deep learning, squeeze-and-excitation network refers to a convolutional block that pools each channel into a summary, learns per-channel weights from those summaries and rescales the channels by them. This meaning comes from Hu (2018) in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.[1]

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Nearby constructs

block3 fields · 6 citationsjingle · one word, three constructs channel4 fields · 4 citationsjingle · one word, four constructs deep learning1 fields · 1 citationsanchor · a standalone construct

References

Hu, J., Shen, L., & Sun, G. (2018). Squeeze-and-Excitation Networks. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/cvpr.2018.00745

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