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models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"
您好,最近尝试用tf复现您的工作,尝试通过method: tf.keras.GroupNormalization() 实现。有以下两个疑问
对于[B, H, W, C ]形状的输入, pxiel norm 计算了多少次均值和方差呢, B x H x W次还是 H x W 次? 结合您的paper和code,我觉得是前者,也就是不同照片同一位置的像素分别计算了不同的均值和方差。 请问是这样吗?
tf官方API没看懂axis参数指定多个dim到底是啥意思 -> API文档地址,试了下面两种都不对 :( ,有空的话帮看下吧
谢谢 !
您好,您的Multi-Adds是怎么计算出来的呢?我使用torchstat计算出来的结果和论文上的不一样
虽然参数量少,但推理速度还是太慢了,转成tensorrt后在同样的机器上,360p的输入只有50多fps,vapsr-s版本也只有80多fps,RFDN的速度可以达到130fps左右
num_groups=?
The basicsr.archs.arch_util file could not be found.
Hello author, I like your work very much, but now I have a problem. I used the profile to calculate the Parameters of the model, but in the case of X4, the calculated value is 440K. Is my calculation method wrong? Please advise, thank you
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