Methods › General › Attention Modules › Compact Global Descriptor
Compact Global Descriptor
Introduced by Xiangyu He et al. in Compact Global Descriptor for Neural Networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A Compact Global Descriptor is an image model block for modelling interactions between positions across different dimensions (e.g., channels, frames). This descriptor enables subsequent convolutions to access the informative global features. It is a form of attention.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Compact Global Descriptor for Neural Networks 23 Jul 2019 · 1 repository · arXiv:1907.09665
Tasks archive 2025-07-28
4 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Audio Classification | 1 |
| Deep Attention | 1 |
| Image Classification | 1 |
| Object Detection | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections