Comments (2)
HarukiYqM
commented on July 23, 2024
你好，这是一个正常的现象。Urban100和manga109比其他数据集困难得多，分辨率高同时纹理细节繁多。其他数据集相对简单很多performance很快就可以饱和了。想要在Urban100达到较好的效果，需要train更多的epoch （1000），以及更小的learning rate，Urban100上的performance会在训练后期boost。近些年的模型都有类似的特点，performance的差距也主要集中在Urban100和manga109。
按照论文的setting，显存不够的话，尽可能增大batchsize（可以的话12），train满1000个epoch ，是可以得到和论文接近的结果的。
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laoyangui
commented on July 23, 2024
@HarukiYqM 感谢回复，后续有显卡的话我会按原设置跑下。非常棒的工作！！
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