Methods › General › Attention Mechanisms › Gather-Excite Networks
Gather-Excite Networks
Introduced by Jie Hu et al. in Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
GENet combines part gathering and excitation operations. In the first step, it aggregates input features over large neighborhoods and models the relationship between different spatial locations. In the second step, it first generates an attention map of the same size as the input feature map, using interpolation. Then each position in the input feature map is scaled by multiplying by the corresponding element in the attention map.
Papers archive 2025-07-28
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Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks 29 Oct 2018 · 9 repositories · arXiv:1810.12348Syntology ran 3 of 7 samples · 4 unverified
Tasks archive 2025-07-28
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Usage over time archive 2025-07-28
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Categories archive 2025-07-28
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