BiSeNet

GCNet: Integrating Non-Local and SENet Attention Mechanisms

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GCNet: Integrating Non-Local and SENet Attention Mechanisms

Introduction: Previously, SENet and Non-Local Neural Network (NLNet) were introduced, both of which are effective attention modules. The author found that the attention maps in NLNet respond almost consistently at different positions, and after integrating with SENet, proposed the Global Context block for global context modeling, achieving better results than SENet and NLNet in mainstream … Read more

Attention Mechanism in CV: FFM and ARM Modules in BiSeNet

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Attention Mechanism in CV: FFM and ARM Modules in BiSeNet

BiSeNet, which utilizes attention mechanisms in semantic segmentation, has two modules: the FFM module and the ARM module. Its implementation is quite straightforward, but the author has a deep understanding of the attention mechanism and proposes a novel feature fusion method through the FFM module. One Introduction Semiotic segmentation requires rich spatial information and a … Read more