hujie-frank/SENet

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Squeeze-and-Excitation Networks (paper) By Jie Hu[1], Li Shen[2], Gang Sun[1]. Momenta[1] and University of Oxford[2]. Approach Figure 1: Diagram of a Squeeze-and-Excitation building block.   Figure 2: Schema of SE-Inception and SE-ResNet modules. We set r=16 in all our models. Implementation In this repository, Squeeze-and-Excitation Networks are implemented by Caffe. Augmentation Method Settings Random Mirror True Random Crop 8% ~ 100% Aspect Ratio 3/4 ~ 4/3 Random Rotation -10° ~ 10° Pixel...