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"...it allows for very large receptive fields while only growing the number of parameters logarithmically. [Zhou at al.] shows how you can use a similar idea in classification to achieve
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Apr 5, 2017
Dilated convolution
Main idea:
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"...it allows for very large receptive fields while only growing the number of parameters logarithmically. [Zhou at al.] shows how you can use a similar idea in classification to achieve3.6× parameter reduction with only 1 drop of accuracy." - excerpt from Reference: dilated-convolutions-and-kronecker-factorisation/
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"...it allows for very large receptive fields while only growing the number of parameters logarithmically. [Zhou at al.] shows how you can use a similar idea in classification to achieve
More references
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