Fig. 7
From: Deep learning for classifying quantum emission signals in WS2 monolayers using wavelet transform
Architecture of the Xception-based model for spectral band classification of quantum emission signals. Input CWT images of size 128 × 128 are passed through depthwise separable convolution layers of the pretrained Xception network, followed by a fully connected layer and sigmoid activation function for binary classification.
