Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Sparsity-Regularized HMAX for Visual Recognition

Figure 3

Statistics of correlation coefficients.

First column: correlations between responses of different filters at the same location. Second column: correlations between responses of the same filter at different locations. Third column: correlations between responses of different filters at different locations. The distance between locations is pixels on the original image space. First row: results on the S1 layer in Figure 2. Second to fourth rows: results on the C1 layer in Figure 2 with max pooling, average pooling and square pooling, respectively, where the pooling ratio . Fifth row: mean of the absolute values of correlation coefficients with respect to the pooling ratio , where the open circles, asterisks and squares denote max pooling, average pooling and square pooling, respectively.

Figure 3

doi: https://doi.org/10.1371/journal.pone.0081813.g003