A Global Context Network, or GCNet, utilises global context blocks to model long-range dependencies in images. It is based on the Non-Local Network, but it modifies the architecture so less computation is required. Global context blocks are applied to multiple layers in a backbone network to construct the GCNet.

Source: GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

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PAPER DATE
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
| Yue CaoJiarui XuStephen LinFangyun WeiHan Hu
2019-04-25

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Instance Segmentation 1 33.33%
Object Detection 1 33.33%
Object Recognition 1 33.33%

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