2019
SRM: A Style-Based Recalibration Module for Convolutional Neural Networks
ICCV 2019poster
Following the advance of style transfer with Convolutional Neural Networks (CNNs), the role of styles in CNNs has drawn growing attention from a broader perspective. In this paper, we aim to fully leverage the potential of styles to improve the performance of CNNs in general vision tasks. We propose…