Comments (2)
lidq92
commented on July 18, 2024
@CabbageWust 我把完整的更新加上了。
extractor.eval()这句话是要的，这样ResNet-50中的bn layer才是符合我预期的工作模式。这是我之前实现的一个bug，修正后我更新了之后没注意到测试那个模型也要更新。刚好我重跑完了三个数据库的实验，现在更新完整了，重新做的实验结果贴到Readme.md了。
也增加了一些更详细的说明。你可以看看。有问题的话可以直接提issue或者给我发邮件。
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lidq92
commented on July 18, 2024
@CabbageWust 另外需要说明的一点是，我训练的时候把mos转label的时候是直接除以mos最大值，并不是线性的scale到[0,1], 这样的话在CVD2014的labels本身就有负数。
还有就是模型并没有限制输出要是非负的。举个例子，拿KoNViD-1k数据进行训练的时候，即便labels都是正的，也不能保证随便输入一个测试视频输出的预测质量分数是正的。这一点你应该能理解吧。
甚至极端点说，模型没训练好的时候，即便输入一个训练集的视频进去也存在输出是负数的可能。
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