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Compact Global Descriptor

1 paper tagged archive 2025-07-28

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.

PaperSourceSee Code · HolmesShuan/Compact-Global-Descriptor

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.

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.

TaskPapers
Audio Classification1
Deep Attention1
Image Classification1
Object Detection1

Usage over time archive 2025-07-28

Papers per year tagged with Compact Global Descriptor: 2019 to 2019, peak 1 1 0 2019: 1 paper 2019
Papers per year the archive tags with this method, by the paper's archive date (1 dated). Bars are counts, not a trend claim.

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

Attention ModulesImage Model Blocks

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