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Video image dataset is playing an essential role in design and evaluation of traffic vision methods. However, there is a longstanding difficulty that manually collecting and annotating large-scale diversified dataset from real scenes is time-consuming and prone to error. In 2016, we proposed the parallel vision methodology to tackle the issues of conventional vision computing approach in data collection,...
Humans possess an extraordinary ability to learn new skills and new knowledge for problem solving. Such learning ability is also required by an automatic model to deal with arbitrary, open-ended questions in the visual world. We propose a neural-based approach to acquiring task-driven information for visual question answering (VQA). Our model proposes queries to actively acquire relevant information...
A method of object-oriented hydropower station dynamic graphical simulation software development is presented in this paper, using Visual Graph integrated environment to achieve the power of graphical modeling components, including generators, excitation devices, turbines, governors, loads and grid structure chart modeling. It designs unified interface between generators and girds. According to compare...
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