论文标题
吸烟和使用深度学习的呼叫分类
Classification of Smoking and Calling using Deep Learning
论文作者
论文摘要
自2014年以来，已经提出了非常深的卷积神经网络，并成为各种竞争中冠军的必备武器。在本报告中，引入了一条管道，以通过修改所预处理的Inception V3进行吸烟和调用分类。实施了基于深度学习的亮度增强，以改善此分类任务的分类以及其他有用的培训技巧。根据质量和数量结果，可以得出结论，该管道具有较小的偏见样品的实用性且准确性高。
Since 2014, very deep convolutional neural networks have been proposed and become the must-have weapon for champions in all kinds of competition. In this report, a pipeline is introduced to perform the classification of smoking and calling by modifying the pretrained inception V3. Brightness enhancing based on deep learning is implemented to improve the classification of this classification task along with other useful training tricks. Based on the quality and quantity results, it can be concluded that this pipeline with small biased samples is practical and useful with high accuracy.
