Fig. 7 | Scientific Reports

Fig. 7

From: DMSCA: dynamic multi-scale channel-spatial attention for enhanced feature representation in convolutional neural networks

Fig. 7

Schematic diagram of the Adaptive Activation (AA) module. The fused feature \(\:{\varvec{X}}_{\varvec{o}\varvec{u}\varvec{t}}\) is compressed via a \(\:1\times\:1\) convolution to a single-channel descriptor. A Sigmoid function generates a spatial gating map \(\:\varvec{\upalpha\:}\), which adaptively scales the features via element-wise multiplication to produce the final output \(\:{\varvec{X}}_{\varvec{f}\varvec{i}\varvec{n}\varvec{a}\varvec{l}}\).

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