Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Zhang Xianshi"'
Autor:
Zhang Zongning, Zhang Xianshi
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In order to improve the quality of teaching spoken English, this paper reconstructs the semantic structure through the weight matrix, and the association matrix describes the mapping process in the context of computer-assisted language learning. Pool
Externí odkaz:
https://doaj.org/article/4987ae0e24e142b69015d264fa9c4ea8
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology, 2023
PointGoal navigation in indoor environment is a fundamental task for personal robots to navigate to a specified point. Recent studies solved this PointGoal navigation task with near-perfect success rate in photo-realistically simulated environments,
Externí odkaz:
http://arxiv.org/abs/2210.00413
Computer-aided X-ray pneumonia lesion recognition is important for accurate diagnosis of pneumonia. With the emergence of deep learning, the identification accuracy of pneumonia has been greatly improved, but there are still some challenges due to th
Externí odkaz:
http://arxiv.org/abs/2207.11393
Recent visual odometry (VO) methods incorporating geometric algorithm into deep-learning architecture have shown outstanding performance on the challenging monocular VO task. Despite encouraging results are shown, previous methods ignore the requirem
Externí odkaz:
http://arxiv.org/abs/2111.11141
Low-light image enhancement is a challenging low-level computer vision task because after we enhance the brightness of the image, we have to deal with amplified noise, color distortion, detail loss, blurred edges, shadow blocks and halo artifacts. In
Externí odkaz:
http://arxiv.org/abs/2110.02477
Autor:
Wei, Xinxu, Zhang, Xianshi, Wang, Shisen, Cheng, Cheng, Huang, Yanlin, Yang, Kaifu, Li, Yongjie
Images obtained in real-world low-light conditions are not only low in brightness, but they also suffer from many other types of degradation, such as color distortion, unknown noise, detail loss and halo artifacts. In this paper, we propose a Degrada
Externí odkaz:
http://arxiv.org/abs/2110.01809
Autor:
Wei, Xinxu, Zhang, Xianshi, Wang, Shisen, Cheng, Cheng, Huang, Yanlin, Yang, Kaifu, Li, Yongjie
Images obtained in real-world low-light conditions are not only low in brightness, but they also suffer from many other types of degradation, such as color bias, unknown noise, detail loss and halo artifacts. In this paper, we propose a very fast dee
Externí odkaz:
http://arxiv.org/abs/2106.15953
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Deng, Tao, Jiang, Lianfang, Shi, Yi, Wu, Jiang, Wu, Zhangbi, Yan, Shun, Zhang, Xianshi, Yan, Hongmei
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems; 2024, Vol. 25 Issue: 3 p2413-2423, 11p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.