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比赛的预训练模型 #24
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非常感谢您的关注,当时比赛是x4 SR,我们就只训练了x4的。等过几天我可以补充一下x2,x3的。 |
谢谢您的回复,再次打扰一下您,请问论文的实验结果是哪一个网络的结果,是safmn的还是safmn_ntire的 |
论文的结果是safmn的。这两个模型的结果应该差不多,但safmn_ntire的速度会快一些,在DIV2K-val上差不多快10ms。 |
我在条件都一样的情况下分别训练了safmn和safmn_ntire,发现safmn的效果要好上不少。也有可能是我自己的问题 |
噢噢噢,同等条件应该是safmn要好一些的,当时比赛的时候我们用了96的patch_size,总共训练了60w次。 |
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您好,打扰您一下,找不到您比赛时完整的预训练模型(x2 , x3 , x4),在您的文件里只找到了一个关于您的team15_SAFMN.pth文件
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