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您好,我下载并运行了您的代码,感觉非常好用,在此表示非常感谢。 请问当我吧模型换成swinb的时候报 RuntimeError:Given groups=1,weight of size [48,192,1,1],expected input[4,256,56,56]to have 192 channels,but got 256 channels instead 这个应该如何修改呢?

我自己也尝试用deeplabv3+架构测试transformer 但是完全不如官方的upernet架构代码。我看你的visdom截图MIOU也只有0.7左右,官方的代码能到0.83左右,而且用你的代码和我自己移植的代码都出现了loss严重波动的问题。请问这个问题是因为什么呢?我搜索到的其他非官方swin tranformer作为encoder的代码结果精度都很低,是什么原因造成的呢

# Patching CVE-2007-4559 Hi, we are security researchers from the Advanced Research Center at [Trellix](https://www.trellix.com). We have began a campaign to patch a widespread bug named CVE-2007-4559. CVE-2007-4559 is a...