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Image Deraining for UAV Using split attention Based Recursive Network

Transactions of Nanjing University of Aeronautics and Astronautics 2020年第4期37卷 539-549页

作者： FENG Yidan DENG Sen WEI Mingqiang College of Computer Science and Technology/College of Artificial Intelligence Nanjing University of Aeronautics and AstronauticsNanjing 211106P.R.China

Images captured in rainy days suffer from noticeable degradation of scene *** aerial vehicles(UAVs),as important outdoor image acquisition systems,demand a proper rain removal algorithm to improve visual perception quality of captured images as well as the performance of many subsequent computer vision *** deal with rain streaks of different sizes and directions,this paper proposes to employ convolutional kernels of different sizes in a multi-path *** attention is leveraged to enable communication across multiscale paths at feature level,which allows adaptive receptive field to tackle complex *** incorporate the multi-path convolution and the split attention operation into the basic residual block without increasing the channels of feature ***,every block in our network is unfolded four times to compress the network volume without sacrificing the deraining *** performance on various benchmark datasets demonstrates that our method outperforms state-of-the-art deraining algorithms in both numerical and qualitative comparisons.

关键词： unmanned aerial vehicle(UAV) deep neural network image deraining recursive computation split attention

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Legends of the dashboard: an empirical evaluation of split and joint layout designs for geovisual analytics interfaces

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International Journal of Digital Earth 2023年第1期16卷 1395-1417页

作者： Izabela Gołębiowska Tomasz Opach ArzuÇöltekin Jolanta Korycka-Skorupa Jan Ketil Rød Faculty of Geography and Regional Studies University of WarsawWarsawPoland Department of Geography Norwegian University of Science and TechnologyTrondheimNorway Institute for Interactive Technologies University of Applied Sciences and Arts Northwestern SwitzerlandWindischSwitzerland

Geodashboards are often designed with explanatory elements guiding *** elements(*** or annotations)need to be carefully designed to mitigate split attention or information integration *** this paper,we report expert interviews followed by a controlled experiment where we compare two interface designs with a focus on the split attention effect:(1)a multiple-legend layout with explanatory elements located next to each view,and(2)a single-legend layout with all explanatory elements gathered in one *** legend layouts did not affect the performance,but affected user satisfaction.75%of the participants preferred the multiple-legend layout,and rated it with a higher usability score,mainly attributing this preference to the proximity of legend elements to the view of *** tracking data strongly and clearly verifies that participants indeed make use of the proximity:With the single-legend,the majority of eye-movement transitions were between the single-legend and the closest view to the legend,whereas with multiple-legend participants have shorter and more frequent legend visits,as well as more transitions between legends and *** together,the design lesson we learned from this experiment can be summarized as‘split the legend elements,but make it close to the explained elements’.

关键词： Geodashboard layout design legend split attention user study eye tracking

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