Construct · 1 fields · 1 citations

dilated convolution: a standalone construct

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

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Deep learning

a convolution whose kernel taps are spaced apart by a dilation rate, enlarging the receptive field without pooling or extra parameters.

In deep learning, dilated convolution refers to a convolution whose kernel taps are spaced apart by a dilation rate, enlarging the receptive field without pooling or extra parameters. This meaning comes from Yu (2015) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

convolution3 fields · 3 citationsjingle · one word, three constructs deep learning1 fields · 1 citationsanchor · a standalone construct dilation4 fields · 5 citationsjingle · one word, four constructs

References

Yu, F., & Koltun, V. (2015). Multi-Scale Context Aggregation by Dilated Convolutions. arXiv. https://doi.org/10.48550/arxiv.1511.07122

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