Zobrazeno 1 - 10
of 66
pro vyhledávání: '"QingZhen Xu"'
Publikováno v:
IEEE Access, Vol 8, Pp 50828-50842 (2020)
Deep learning based on convolutional neural network (CNN) has been successfully applied to stereo matching, which has achieved greater improvement in speed and accuracy compared with traditional methods. However, existing CNN-based stereo matching fr
Externí odkaz:
https://doaj.org/article/98d51994e78842f9a5b259893fd57e5a
Autor:
Hao Sun, Yizhe Li, Liyao Gao, Mengyao Chang, Xiangrong Jin, Boyuan Li, Qingzhen Xu, Wen Liu, Mingyue Zhou, Xiaoming Sun
Publikováno v:
Journal of Energy Chemistry. 81:349-357
Publikováno v:
Multimedia Tools and Applications. 82:7141-7157
Publikováno v:
Multimedia Tools and Applications.
Autor:
JunBin Yuan, Jinhui Wei, Kanoksak Wattanachote, Kun Zeng, Xiaonan Luo, Qingzhen Xu, Yongyi Gong
Publikováno v:
Applied Intelligence. 52:14349-14361
Publikováno v:
Procedia Computer Science. 202:379-384
Publikováno v:
Procedia Computer Science. 202:21-26
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Soft Computing. 25:15183-15199
Deep learning based on convolutional neural network (CNN) has been successfully applied to stereo matching as it can accelerate the training process and improve the matching accuracy. However, the existing stereo matching framework based on CNN often
Publikováno v:
2022 9th International Conference on Digital Home (ICDH).