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Aug, 2016
融合深度卷积网络进行大规模视觉概念分类
Fusing Deep Convolutional Networks for Large Scale Visual Concept Classification
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Hilal Ergun, Mustafa Sert
TL;DR
本研究从大数据方面对卷积神经网络进行了分析，并在单个和多个网络模型上提出了有效的融合机制，为大数据从业人员提供了最佳实践，从而在保持计算成本较低的情况下，在基准数据集上取得了最先进的结果。
Abstract
deep learning
architectures are showing great promise in various
computer vision
domains including image classification, object detection, event detection and action recognition. In this study, we investigate var
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