SENet
2000년 도입 · 논문 47편에서 사용
A SENet is a convolutional neural network architecture that employs squeeze-and-excitation blocks to enable the network to perform dynamic channel-wise feature recalibration.
출처: Squeeze-and-Excitation Networks
소개 논문: Squeeze-and-Excitation Networks
Convolutional Neural Networks · Computer Vision