Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device
Force Classification
Observational Learning
Extraction: Advanced Methods
Types of Global Positioning System Surveys
Aggregates Classification
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Yuhong Shi1, Hongguang Pan2, Ze Jiang3
1College of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an, 710054, China; Xi'an Key Laboratory of Electrical Equipment Condition Monitoring and Power Supply Security, Xi'an, 710054, China; National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi'an, 710054, China; Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710054, China.
本研究介绍了全球本地存储增强 (GSE) 模型,通过高效处理冗余视频数据来提高视频对象识别. GSE模型增强了特征聚合和注意力机制,在基准数据集上实现了卓越的性能.
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