摘要
针对图像语义分割中存在分割效果粗糙、细节缺失的问题,提出一种结合区域建议网络并实现卷积层共享的联合网络结构。利用区域建议网络生成包含类别标记信息的区域建议框,并使用这些区域建议框来校正全卷积语义分割网络的分割结果。实验表明,该方法可以有效提高像素点的分类正确率,得到更精细的分割效果。
In order to improve the problems of roughness and lack of detail in the semantic segmentation of image,a joint network structure is proposed,which combines the regional proposal network and realizes the convolution layer sharing. The regional proposal network is used to generate some regional proposal boxes which contain category information. The regional proposal boxes are used to correct the segmentation results of the fully convolutional semantic segmentation network. Experiments show that this method can effectively improve the classification accuracy of pixels and get better segmentation results.
出处
《计算机与现代化》
2018年第2期122-126,共5页
Computer and Modernization
基金
湖南省教育厅一般资助项目(15C0402)
关键词
计算机视觉
语义分割
区域建议
全卷积网络
computer vision
semantic segmentation
region proposal
fully convolution network
