Objects Classification by Learning-Based Visual Saliency Model and Convolutional Neural Network

Table 5

The error rate of the classification results by three different frequency trainings of CNN in two groups of input images.

Method	Frequency of training	500	1000	1500
Without improvement	Error rate%	63.2	56.7	46.9
Our classification method		44.6	33.8	29.1