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Gaussian Context Transformer
These approaches commonly learn the relationship between global contexts and attention activations by using fully-connected layers or linear transformations.
Linear Context Transform Block
In this work, we first revisit the SE block, and then present a detailed empirical study of the relationship between global context and attention distribution, based on which we propose a simple yet effective module, called Linear Context Transform (LCT) block.
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