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Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters

Convolution is the main building block of convolutional neural networks (CNN). We observe that an optimized CNN often has highly correlated filters as the number of channels increases with depth, reducing the expressive power of feature representations.

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Cite this as

Xudong Wang, Stella X. Yu (2024). Dataset: Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. https://doi.org/10.57702/12fz1k8m

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2009.12021
Author	Xudong Wang
More Authors	Stella X. Yu
Homepage	https://arxiv.org/abs/2004.08955