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Settings on whether to use affine #5

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Yuan1z0825 opened this issue Nov 20, 2024 · 0 comments
Open

Settings on whether to use affine #5

Yuan1z0825 opened this issue Nov 20, 2024 · 0 comments

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@Yuan1z0825
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The author's contribution toward eliminating artifacts is commendable; however, there are a few points that remain unclear. Specifically, I found that the affine setting of dense normalization during training appears to be ineffective. Yet, the weights and biases associated with this affine setting are still utilized during transfer. Could you clarify the rationale behind this discrepancy?

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