Hu J, Shen L, Sun G. Squeeze-and-excitation networks[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 7132-7141.
1. Overview
In this paper, it propsed
- SE block (Squeeze-and-Excitation). adaptively recalibrates channel-wise feature responses by explicity modelling interdependencies between channels
- SE network
2. Methods
2.1. Squeeze: Global Information Embedding
- global pooling
2.2. Excitation: Adaptive Recalibration
- FC + ReLU
- FC + Sigmoid
2.3. Example
2.4. Implementation
3. Experiments
3.1. Ablation Study
3.2. Comparison
