Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Qianchuan Zhang"'
Autor:
Yan Chen, Qianchuan Zhang, Xiaofeng Wang, Quan Dong, Menglei Kang, Wenxiang Jiang, Mengyuan Wang, Lixiang Xu, Chen Zhang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14640-14655 (2024)
Contextual information can effectively aid deep-learning models in extracting interclass and intraclass difference features in remote sensing images. This article presents a novel approach called the adaptive attention network (AANet) for semantic se
Externí odkaz:
https://doaj.org/article/81904a11446d4486a384d5dd9369e539
Autor:
Yan Chen, Quan Dong, Xiaofeng Wang, Qianchuan Zhang, Menglei Kang, Wenxiang Jiang, Mengyuan Wang, Lixiang Xu, Chen Zhang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4421-4435 (2024)
In the context of fast progress in deep learning, convolutional neural networks have been extensively applied to the semantic segmentation of remote sensing images and have achieved significant progress. However, certain limitations exist in capturin
Externí odkaz:
https://doaj.org/article/36cfce9bdedb437b8cffeb6136bd9eda
Autor:
Qianchuan Zhang, Haiwen Xu
Publikováno v:
2010 Third International Joint Conference on Computational Science and Optimization.
In order to reduce the difficulty and complexity on computing the projection from a real Hilbert space onto a nonempty closed convex subset, Yamada has provided the hybrid steepest-descent method for solving variational inequalities. Recently Xu has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0230a313280fd5facacc02796cb26545
https://doi.org/10.1109/cso.2010.50
https://doi.org/10.1109/cso.2010.50
Publikováno v:
2009 First International Workshop on Education Technology and Computer Science.
This paper proposes a new prediction-correction and relaxed hybrid steepest-descent method for a class of the variational inequality problem with a Lipschitzi and strongly monotone operator on a nonempty closed convex subset in real Hilbert space. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7104c4090ce4b7a9681a2470e52fce31
https://doi.org/10.1109/etcs.2009.63
https://doi.org/10.1109/etcs.2009.63
Autor:
Haiwen Xu, Qianchuan Zhang
Publikováno v:
2010 Third International Joint Conference on Computational Science & Optimization (CSO); 2010, p527-530, 4p
Publikováno v:
2009 First International Workshop on Education Technology & Computer Science; 2009, p252-256, 5p