Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zhengchao Lei"'
Publikováno v:
IEICE Transactions on Information and Systems. :1362-1370
Publikováno v:
Neurocomputing. 356:107-118
It is challenging for video salient object detection in the pursuit of high accuracy and fast speed with large amount of calculation in spatiotemporal domain. Most of existing methods use complex models with massive number of parameters to detect sal
Publikováno v:
VCIP
The semantic segmentation is a dense pixel label pre-diction task, which takes quite a lot of resources and computation cost in most of the time. In our approach, we pay attention to balance the speed and better performance which outperforms the stat
Publikováno v:
Communications in Computer and Information Science ISBN: 9789813349216
Satellite Internet (SI) is a new way to provide internet access all over the world. It will bring great convenience to international communication. Compared with the traditional communication networks, SI has a significant change in network architect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3275a8aeede9c8da1191ccea32f4f3ce
https://doi.org/10.1007/978-981-33-4922-3_14
https://doi.org/10.1007/978-981-33-4922-3_14
Publikováno v:
Machine Vision and Applications. 29:861-871
Text is a significant tool for human communication, and text recognition in scene images becomes more and more important. In this paper, we propose a residual convolutional recurrent neural network for solving the task of scene text recognition. The
Publikováno v:
Neurocomputing. 239:94-101
To detect salient regions in images, a widely accepted practice is to construct a graph on the image elements, and then assign a saliency value to each node in the graph according to its distance to a number of initial seeds. Two problems emerge in t
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811088896
MSN
MSN
Saliency detection in images attracts much research attention for its usage in numerous multimedia applications. Beside on the detection within the single image, co-saliency has been developed rapidly by detecting the same foreground objects in diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81a5c9576096b4bc22c22a9558fa908b
https://doi.org/10.1007/978-981-10-8890-2_8
https://doi.org/10.1007/978-981-10-8890-2_8
Publikováno v:
2017 International Conference on Virtual Reality and Visualization (ICVRV).
As the rapid development of computer graphics and network, virtual reality technology begin to penetrate the field of social network. Due to the limited function of single virtual reality device, the combination of different devices is a feasible app
Publikováno v:
2017 12th International Conference on Computer Science and Education (ICCSE).
Saliency detection in images attracts much research attention for its usage in numerous multimedia applications. In this paper, we propose a saliency detection method based on optimization for RGBD images. With RGBD images, our method utilizes the de