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MobileNetV1 and MobileNetV2
The dataset used in this paper is MobileNetV1 and MobileNetV2, which are commonly used vision backbones for custom ML hardware. -
MobileNetV1, MobileNetV2 and MNasNet models for ImageNet classification
The dataset used in this paper is the MobileNetV1, MobileNetV2 and MNasNet models for ImageNet classification. -
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.
