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EN
Object tracking based on Siamese networks has achieved great success in recent years, but increasingly advanced trackers are also becoming cumbersome, which will severely limit deployment on resource-constrained devices. To solve the above problems, we designed a network with the same or higher tracking performance as other lightweight models based on the SiamFC lightweight tracking model. At the same time, for the problems that the SiamFC tracking network is poor in processing similar semantic information, deformation, illumination change, and scale change, we propose a global attention module and different scale training and testing strategies to solve them. To verify the effectiveness of the proposed algorithm, this paper has done comparative experiments on the ILSVRC, OTB100, VOT2018 datasets. The experimental results show that the method proposed in this paper can significantly improve the performance of the benchmark algorithm.
EN
In 2008, the Polish Medical Air Rescue started replacing its fleet with modern EC135 machines. To ensure the maximum possible safety of the missions performed both in the period of implementing the change and later on, the management prepared a strategy of training its crews to use the new type of helicopter. The analysis of incidents that occurred during 2006–2009 showed that both the human and the technical factors must be carefully considered. Moreover, a risk analysis was conducted to reduce the risk both during general crew training and in the course of particular flight operations. A four-stage strategy of training pilots and crew members was worked out by weighing up all the risks. The analysis of data from 2010 to 2013 confirmed that the risk connected with flying and with all the activities involved in direct support aircraft operations is under control and lowered to an acceptable level.
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