Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Yuanwang Wei"'
Publikováno v:
Sensors, Vol 23, Iss 3, p 1070 (2023)
Detecting irregular or arbitrary shape text in natural scene images is a challenging task that has recently attracted considerable attention from research communities. However, limited by the CNN receptive field, these methods cannot directly capture
Externí odkaz:
https://doaj.org/article/e49a207afa0446f5b50565a9262bd796
Publikováno v:
Signal Processing: Image Communication. 113:116919
Publikováno v:
International Journal of Remote Sensing. 40:2759-2783
Identifying a discriminative feature can effectively improve the classification performance of aerial scene classification. Deep convolutional neural networks (DCNN) have been widely used in aerial...
Publikováno v:
Signal Processing: Image Communication. 64:89-98
Due to the complex backgrounds, size variations, and changes in perspective and orientation in natural scene images, detecting multi-oriented text is a difficult problem that has recently attracted considerable attention from research communities. In
Publikováno v:
Remote Sensing Letters. 9:294-303
Aerial scene classification is a challenging task in the remote sensing image processing field. Owing to some similar scene, there are only differences in density. To challenge this problem, this p...
Publikováno v:
Signal Processing: Image Communication. 50:1-8
In recent years, significant progress has been made in detecting text in scene images. However, most of state-of-the-art approaches can not work well when encountered blurred, low-resolution and small-sized texts. We consider many connected regions a
Publikováno v:
Signal Processing: Image Communication. 47:358-368
Abnormal behavior detection in crowded scenes is extremely challenging in the field of computer vision due to severe inter-object occlusions, varying crowd densities and the complex mechanics of a human crowd. We propose a method for detecting and lo
Publikováno v:
Advanced Materials Research. :5448-5452
An efficient compressed volume rendering algorithm is presented. Firstly, the original volume data is compressed by a content-based classified hierarchical vector quantization algorithm. Secondly, the compressed volume data is then transferred to Gra
A coarse-grained bottleneck detection method with data buffer mechanism for wireless sensor networks
Publikováno v:
Proceedings of 2012 2nd International Conference on Computer Science and Network Technology.
The bottleneck has a faster energy consumption rate than other nodes, and it may lead to network partition in wireless sensor networks. To save the energy of the bottleneck, we suggested a coarse-grained bottleneck detection method based on the data
Publikováno v:
2008 Second International Conference on Genetic and Evolutionary Computing.
Recommendation systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed for the present recommendation systems, such as content-based, collaborative filtering, Web min