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On the focal frequency loss. #3

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shiliang26 opened this issue Apr 13, 2023 · 1 comment
Open

On the focal frequency loss. #3

shiliang26 opened this issue Apr 13, 2023 · 1 comment

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@shiliang26
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Hi,

I noticed that you removed the weight that balances the losses of different positions, which is a part of the focal frequency loss.

I wonder why that is. Did you observe a performance degradation?

I'm working on a similar project that involves spectrum reconstruction, and could use your advice. Intuitively, given the unbalanced distribution of the spectrum, the weight seems a good choice.

Thank you!

@CoinCheung
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Yes, from my observation, the results achieved with weight is not so good as that without weight. But it only limits to my experiments, I feel it should depend on specific using case. I encourage you to try both, and use the better in your case.

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