A Residual SRM is a module for convolutional neural networks that uses a Style-based Recalibration Module within a residual block like structure. The Style-based Recalibration Module (SRM) adaptively recalibrates intermediate feature maps by exploiting their styles.
Source: SRM : A Style-based Recalibration Module for Convolutional Neural NetworksPaper | Code | Results | Date | Stars |
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Residual Connection
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Style-based Recalibration Module
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Image Model Blocks |