Fig. 5: Anti-interference classification capability under dynamic multi-object scenes.
From: Anti-interference diffractive deep neural networks for multi-object recognition
a AI D2NN under dynamic testing environment. b Confusion matrices for the numerical and experimental results. c Energy distribution of numerical and experimental results. d Classification results when scenes containing one target and two moving interferences. e Classification results when scenarios with one target and more than two moving interferences
