DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks

The proposed DualConv is used to replace the standard convolution in VGG-16 and ResNet-50 to perform image classification experiments on CIFAR-10, CIFAR-100, and ImageNet datasets.

Data and Resources

Cite this as

Jiachen Zhong, Junying Chen, Ajmal Mian (2024). Dataset: DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks. https://doi.org/10.57702/7fiqr5p8

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Author Jiachen Zhong
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Junying Chen
Ajmal Mian
Homepage https://arxiv.org/abs/2203.12345