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.
Source: Compact Global Descriptor for Neural NetworksPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Audio Classification | 1 | 25.00% |
Deep Attention | 1 | 25.00% |
Image Classification | 1 | 25.00% |
Object Detection | 1 | 25.00% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |