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Difference between the paper and the code: global Top-K or local Top-K? #121

@huang-h3

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@huang-h3

Hi, I'm reading your paper and I'm a bit confused about one point.

In Section 2.1 of the paper, it is stated that there's a fixed proportion $r$ for each P-frame, i.e. $|Ω_{i,n,τ}|=⌊rP_0⌋$, to select salient patches, which suggests a local Top-K selection strategy. However, global Top-K is employed actually, as it is indicated in Section 8: "Top-k selection" "Patches are ranked globally by their saliency scores...." (also the code implementation). I also read #116 . It could be misleading for readers trying to reproduce your experiments.

Is it possible that the statement in Section 2.1 is inaccurate or outdated relative to the final implementation?

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