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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. -
MobileNetV2 dataset
The dataset used in the paper is the MobileNetV2 dataset, which is a pre-trained deep neural network model. -
FisHook - An Optimized Approach to Marine Species Classification using Mobile...
A marine species classification using MobileNetV2 model -
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Cla...
Deep convolutional neural networks have achieved remarkable success in computer vision. However, deep neural networks require large computing resources to achieve high... -
MobileNetV2
The dataset used in this paper is a MobileNetV2 model, which is a type of deep neural network. The dataset is used to evaluate the performance of the proposed heterogeneous system.
