IEEE Transactions on Pattern Analysis and Machine Intelligence· 2019Q1
Squeeze-and-Excitation Networks
- 12,562citations
- Q1SCImago
- 2019year
Short summary
This paper introduces the "Squeeze-and-Excitation" (SE) block, a novel architectural unit for Convolutional Neural Networks (CNNs) that adaptively recalibrates channel-wise feature responses by modeling interdependencies between channels.
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Atomic and Molecular Physics, and OpticsPhysics and Astronomy