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[D] Global Context block spatial resolution

[D] Global Context block spatial resolution

The paper in question is here: https://arxiv.org/pdf/1904.11492.pdf

The authors claim that assuming similar attention level for different Query points, a lot of computation can be saved by making a query-independent self-attention layer. That sounds good, but the following diagram of their architecture is confusing to me:

diagram 4(d) from the paper

After the Transform section, when the result is added back to the original image, each channel only gets one value broadcast over the entire plane. I had assumed that the goal was to calculate a global attention map (i.e query-independent and key-dependent). Could someone please explain why this is?

submitted by /u/eukaryote31
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.