Fig. 2
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Detailed architectures of branch netn and attention mechanism, where FC is the full connected layer. The input of branch netn experiences the initial feature extraction through a FC layer and then carries out the feature amplification by attention mechanism, where i represents the layer number. 3, 6, and 6 layers are respectively used in branch networks from net1 to net3.
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