Research of Self-Attention in Image Segmentation

被引:1
|
作者
Cao, Fude [1 ]
Zheng, Chunguang [1 ]
Huang, Limin [1 ]
Wang, Aihua [1 ]
Zhang, Jiong [1 ]
Zhou, Feng [1 ]
Ju, Haoxue [1 ]
Guo, Haitao [1 ]
Du, Yuxia [1 ]
机构
[1] Shandong Inst Commerce & Technol, Jinan, Shandong, Peoples R China
关键词
Convolutional Neural Networks; Image Segmentation; Self-Attention;
D O I
10.4018/JITR.298619
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Although the traditional convolutional neural network is applied to image segmentation successfully, it has some limitations. That's the context information of the long-range on the image is not well captured. With the success of the introduction of self-attentional mechanisms in the field of natural language processing (NLP), people have tried to introduce the attention mechanism in the field of computer vision. It turns out that self-attention can really solve this long-range dependency problem. This paper is a summary on the application of self-attention to image segmentation in the past two years.
引用
收藏
页数:12
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