Consider the following excerpt from the abstract of the research paper titled Squeeze-and-Excitation networks by Jie Hu et al.
Convolutional neural networks are built upon the convolution operation, which extracts informative features by fusing spatial and channel-wise information together within local receptive fields. In order to boost the representational power of a network, several recent approaches have shown the benefit of enhancing spatial encoding.
The authors used the term "spatial encoding" and the excerpt implies that enhancing spatial encoding has the benefit of increasing the representational power of a convolutional neural network.
What is meant by the term "spatial encoding" in this context related to the convolutional neural networks?