Enhanced Network Expressiveness with Double Residuals for Improved Accuracy

By incorporating double residuals into the Main Stage, the network's capacity to understand and identify subtle details within the input data is significantly enhanced. This approach effectively circumvents misclassifications stemming from adjacent classifications, leading to a notable increase in the overall accuracy of the model. In essence, this method allows the network to 'see' the input data with greater precision, resulting in more accurate and reliable predictions.