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- Title
Study on the influence of variable stride scale change on image recognition in CNN.
- Authors
Guo, Chen; Liu, Yue-lan; Jiao, Xuan
- Abstract
After the research based on the progressing image classification recognition method of CNN, the paper aims at the problem that the size of feature size of output map of image with different complexity cannot be well solved by the constant value stride. We bring up the idea which based on the variable stride length for constraint parameters to selectively select the size of the stride. It is helpful to improve the efficiency of selective extraction and recognition of important features. Later studies have proved that the deficiency issue of complex image characteristic extraction due to the large stride size could be averted by adopting the variable stride length method based on constraint parameters. In the meantime, the method also avoids low recognition efficiency due to the image complexity is sparse and, also, the stride size of the image is too small. The theoretically calculated results are in good agreement with the experimental results.
- Publication
Multimedia Tools & Applications, 2019, Vol 78, Issue 21, p30027
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-018-6861-0