Construct · 1 fields · 1 citations

class activation mapping: a standalone construct

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

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Computer vision

a technique that uses global average pooling weights to highlight the image regions a convolutional network relies on for a class.

In computer vision, class activation mapping refers to a technique that uses global average pooling weights to highlight the image regions a convolutional network relies on for a class. This meaning comes from Zhou (2016) in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).[1]

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Nearby constructs

activation4 fields · 4 citationsjingle · one word, four constructs class3 fields · 3 citationsjingle · one word, three constructs highlight2 fields · 2 citationsjingle · one word, two constructs

References

Zhou, B., Khosla, A., Lapedriza, A., Oliva, A., & Torralba, A. (2016). Learning Deep Features for Discriminative Localization. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/cvpr.2016.319

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