Titlebook: Advances in Visual Computing; 15th International S George Bebis,Zhaozheng Yin,George Baciu Conference proceedings 2020 Springer Nature Swit

incompatible

书目名称Advances in Visual Computing影响因子(影响力)




书目名称Advances in Visual Computing影响因子(影响力)学科排名




书目名称Advances in Visual Computing网络公开度




书目名称Advances in Visual Computing网络公开度学科排名




书目名称Advances in Visual Computing被引频次




书目名称Advances in Visual Computing被引频次学科排名




书目名称Advances in Visual Computing年度引用




书目名称Advances in Visual Computing年度引用学科排名




书目名称Advances in Visual Computing读者反馈




书目名称Advances in Visual Computing读者反馈学科排名

时代

Self-Competitive Neural NetworksNN tries to improve its accuracy by competing with itself (generating hard samples and then learning them), the technique is called Self-Competitive Neural Network (SCNN). To generate such samples, we pose the problem as an optimization task, where the network weights are fixed and use a gradient de

增长

NEG

consent

prediabetes

缺陷

Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3chnique that finds individual and unbounded dropout rates for each neural network weight. Experiments on the PASCAL VOC benchmark dataset show promising results where variational dropout combined with the most efficient YOLOv3 variant lead to an extremely sparse solution that reduces 95% of the base

凝视

AER

Towards Optimal Ship Navigation Using Image Processingh has some practical and computational limitations; however, the future unmanned vessels could benefit from the improved applications of this route optimization approach in terms of energy consumption, time, and workforce.

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