一个描述符增强的卷积神经网络

2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2019-08-01 DOI:10.1109/PACRIM47961.2019.8985026

Ahmed M. Elmoogy, Xiaodai Dong, Tao Lu, Robert Westendorp, K. Reddy

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引用次数: 2

摘要

在输入中加入图像描述符可以显著提高卷积神经网络的性能。通过将加速鲁棒特征(SURF)描述符结合到室内定位应用中，我们报告了一个更简单的卷积神经网络，具有快速的训练速度和出色的准确性，并且与目前的技术相比，不需要预训练网络。

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SurfCNN: A descriptor enhanced convolutional neural network

Adding an image descriptor to the input significantly enhances the performance of a convolutional neural network. By incorporating Speeded Up Robust Feature (SURF) descriptors for indoor localization applications, we report a simpler convolutional neural network with fast training speed and outstanding accuracy and without the need for a pretrained network in contrast to the state of art.

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来源期刊

2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)

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