[图像超分]--FC2N:Fully Channel-Concatenated Network for Single Image Super-Resolution

[图像超分]--FC2N:Fully Channel-Concatenated Network for Single Image Super-Resolution

创新点:

[图像超分]--FC2N:Fully Channel-Concatenated Network for Single Image Super-Resolution
目前SOTA单帧图像超分方法如RCAN、EDSR的basic block为上图c的结构, 即为resnet的残差模块去除掉BN层,本文提出的结构为上图的f结构,使用加权concat替换残差部分,即element-wise相加的结构。
[图像超分]--FC2N:Fully Channel-Concatenated Network for Single Image Super-Resolution
本文网络主体如图,主要由n个CG模块组成,最后是一个CG模块加权concat。每个CG模块里面包含了m个上面介绍的basic block。

实验结果:

1.消融实验分析:
[图像超分]--FC2N:Fully Channel-Concatenated Network for Single Image Super-Resolution
2.同SOTA方法对比:
[图像超分]--FC2N:Fully Channel-Concatenated Network for Single Image Super-Resolution
备注:代码复现很简单,亲测了一下这个方法,感觉提升不多,相比来说计算量是减少了,但是参数量增加了很多!