This paper presents a procedure for the optimization of the training dataset and the optimization of the structural parameters of a neural network through the application of a robust neural network design methodology based on the design philosophy proposed by Genichi Taguchi, applied to the solution ...
Precisely in view of the differences between the above two categories of datasets mentioned in Section 2.2, current visual localization challenges are evaluated separately for autonomous vehicles and handheld devices. While the current benchmark is doing a great job handling these two challenges, our ...
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This paper presents a procedure for the optimization of the training dataset and the optimization of the structural parameters of a neural network through the application of a robust neural network design methodology based on the design philosophy proposed by Genichi Taguchi, applied to the solution ...
Specifically, our enhancements encompass three main aspects: Firstly, we have incorporated a convolutional neural network-based local spatial-feature-enhancement module within the image encoder. This module extracts local spatial context information from images, bolstering the model’s ability to handle ...
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes. In Proceedings of the Robotics: Science and Systems 2018, Pittsburgh, PA, USA, 26–30 June 2018. [Google Scholar] Rad, M.; Lepetit, V. BB8: A Scalable, Accurate, Robust to Partial Occlusion Method ...
Sensing capabilities encompass an organisation’s structure, processes, designs, and incentives for identifying technological opportunities, customer needs, and strategic challenges [76,93]. Effective sensing enables recognition of emerging market trends, customer preferences, and technological advancements [88...
The BP neural network is effective in improving the positioning accuracy, but it is prone to fall into local optimum solutions. A number of samples are necessary in the training process, which may expose the system with excessive training time. It is speculated that if the 3D coordinates are ...