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Table 3 Comparison of performance (Accuracy %) between EGAN , other features and feature learning methods

From: Unsupervised feature learning-based encoder and adversarial networks

Dataset Classifier Feature extraction
RGB GAN CNNAE BiGAN EGAN
Tea clones AlexNet 90.48 81.85 87.83 78.76 94.02
DenseNet 80.97 75.22 80.75 82.30 94.46
PV corn AlexNet 92.46 84.12 92.86 83.73 93.25
DenseNet 92.46 78.57 90.08 81.74 95.63
PV potato AlexNet 89.70 83.08 91.91 85.29 97.05
DenseNet 94.85 80.14 88.97 85.29 98.52
PV apple AlexNet 91.32 76.53 87.76 78.57 93.87
DenseNet 89.28 69.38 87.76 77.55 95.91
MNIST AlexNet 96.10 90.96 95.30 90.20 97.70
DenseNet 97.00 83.63 96.07 86.70 98.83
  1. The best performance for each dataset and classifier is printed in bold