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Compact Global Descriptor

2000년 도입 · 논문 1편에서 사용

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.

출처: Compact Global Descriptor for Neural Networks

소개 논문: Compact Global Descriptor for Neural Networks

Attention Modules · GeneralImage Model Blocks · Computer Vision