Adding a Green's function convolution layer that integrates gradient features into spatial features improves saliency detection accuracy and training stability of HED and DSS networks.
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Deep Green Function Convolution for Improving Saliency in Convolutional Neural Networks
Adding a Green's function convolution layer that integrates gradient features into spatial features improves saliency detection accuracy and training stability of HED and DSS networks.