A Lightweight Convolutional Neural Network with Hierarchical Multi-Scale Feature Fusion for Image Classification
Adama Dembele,
Ronald Waweru Mwangi,
Ananda Omutokoh Kube
Abstract:Convolutional neural networks (CNNs) are widely used in image classification tasks, but their increasing model size and computation make them challenging to implement on embedded systems with constrained hardware resources. To address this issue, the MobileNetV1 network was developed, which employs depthwise convolution to reduce network complexity. MobileNetV1 employs a stride of 2 in several convolutional layers to decrease the spatial resolution of feature maps, thereby lowering computational costs. However… Show more
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