Deep Learning, Artificial Intelligence, Image Classification, Vision Transformer, Transformers.
distributions of errors of the two systems), and D is KL Divergence: The JS distance is a symmetrized and smoothed version of the Kullback-Liebler divergence. A lower JS distance implies classifiers with high error consistency. Columns (predicted labels) of the confusion matrix are collapsed, and