GCNet
2000년 도입 · 논문 11편에서 사용
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.
출처: GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
소개 논문: GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Instance Segmentation Models · Computer VisionObject Detection Models · Computer Vision