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IEEE/ICACT20230035 Slide.11        [Big Slide]       [YouTube]	Oral Presentation
	Next, each feature is entered into the attention importance weighting module. This module consists of a fully-connected layer and a sigmoid activation function. It can calculate the importance of samples in model training. The higher the uncertainty of the sample, the lower the importance weight will be. So this module can use the sigmoid function to calculate the importance weight of each extracted deep feature.

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