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你好,你们有没有试过每个阶段的卷积层(除了convlstm层)参数不共享的话,会降低多少?还有感觉计算y通道的psnr和rgb通道psnr的数值相差有点大,然后不同论文又都混着用,就比较麻烦
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你的意思是每个阶段用新的卷积层?我们没有试,不过应该也不会差,参数量变大了更容易在训练集过拟合,指标应该不会降,但generalization性能可能会下降。 现在论文计算指标的确不统一,psnr值一般是 rgb > y通道 > rgb2gray。Matlab实现的psnr、ssim和python实现的好像也不太一样。我只能保证自己论文里是统一指标。
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也对,一般y通道的会比rgb高,所以其他方法的psnr值也变高了
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你好,你们有没有试过每个阶段的卷积层(除了convlstm层)参数不共享的话,会降低多少?还有感觉计算y通道的psnr和rgb通道psnr的数值相差有点大,然后不同论文又都混着用,就比较麻烦
The text was updated successfully, but these errors were encountered: