Robustness Study of a Deep Convolutional Neural Network for Vehicle Detection in Aerial Imagery

Olga V. Ilina, Maxim V Tereshonok · Journal of Communications Technology and Electronics · 2022

Abstract The robustness of a deep convolutional neural network for vehicle detection in aerial imagery is analyzed. The study allows us to evaluate detection quality and correctness of a trained neural network. The method of improving noise immunity for an object detection system in aerial imagery is proposed.

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