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Jian Ni, Rui Wang and Jing Tang
The detection of small objects is easily affected by background information, and a lack of context information makes detection difficult. Therefore, small object detection has become an extremely challenging task. Based on the above problems, we proposed...
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Liang Ge, Siyu Li, Yaqian Wang, Feng Chang and Kunyan Wu
Traffic speed prediction plays a significant role in the intelligent traffic system (ITS). However, due to the complex spatial-temporal correlations of traffic data, it is very challenging to predict traffic speed timely and accurately. The traffic speed...
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Liguo Weng, Yiming Xu, Min Xia, Yonghong Zhang, Jia Liu and Yiqing Xu
Changes on lakes and rivers are of great significance for the study of global climate change. Accurate segmentation of lakes and rivers is critical to the study of their changes. However, traditional water area segmentation methods almost all share the f...
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Hongyang Li, Lizhuang Liu, Zhenqi Han and Dan Zhao
Our method is applied to the automatic detection of the fibre of preserved Szechuan pickle. This method can be extended to the detection of non-salient contours and provide ideas for the detection of special contours.
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Jianming Zhang, Chaoquan Lu, Jin Wang, Lei Wang and Xiao-Guang Yue
In civil engineering, the stability of concrete is of great significance to safety of people?s life and property, so it is necessary to detect concrete damage effectively. In this paper, we treat crack detection on concrete surface as a semantic segmenta...
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