FIGURE 2.

Comparison between common classification networks and the network with the proposed class knowledge banks. A common image classification network on the left is trained on the training data. After training, class knowledge in the training data only functions through the network weights. By contrast, except for the network weights, the proposed class knowledge banks can learn class knowledge from the training data and store the knowledge. The learned knowledge in the CKBs participates in the classification process by measuring the similarity between the CKBs and the representation of the input.