BriefGPT.xyz
Apr, 2016
大规模图像分类专家网络
Network of Experts for Large-Scale Image Categorization
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Karim Ahmed, Mohammad Haris Baig, Lorenzo Torresani
TL;DR
本文提出了一种基于树状结构的神经网络架构,用于大规模图像分类,并将其成功应用在四种流行卷积神经网络上,最终在CIFAR100数据集上达到了迄今为止最好的分类准确度,且在训练时间和参数数量上增加并不多。
Abstract
We present a
tree-structured network
architecture for large-scale
image classification
. The trunk of the network contains convolutional layers optimized over all classes. At a given depth, the trunk splits into s
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