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huawei-noah / Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
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visualization in VIG #131

Open touristourist opened 2 years ago

touristourist commented 2 years ago

Hi, in the visualization part of VIG, I noticed that the neighbors are different for the same node in the 1st and the 12th block. Does this mean the adjacency matrix different between different blocks? As a beginner in GNN, this puzzles me. Looking for your reply, thanks! image

iamhankai commented 2 years ago

Thanks for the attention. The graph is dynamically generated in grapher module. By default, we use MRConv in this repo: https://github.com/lightaime/deep_gcns_torch.

Idiom1999 commented 2 years ago

我想问一下，源码里DeepGCN类中：HW = 224 // 4 * 224// 4的4是不是每个patch的边长为4，然后有HW=3136个patch的意思？

iamhankai commented 2 years ago

是3136个patch，不过stem是几层卷积，每个patch之间有一定overlap，边长为7

Idiom1999 commented 2 years ago

真的十分感谢您的解答！！！ 我看到有DownSample进行了下采样操作，具体是使用大小为3，步长为2，padding=1的卷积核进行完成的。 这样做在CNN层面上是2倍下采样。那么对于整个图来讲，节点数就减少了4倍。这是以一种什么方式进行节点数的减少呢？就好比GraphUNet是采用topK的方法进行图的下采样，那么DownSample对于节点数的减少又是什么原理呢？

iamhankai commented 2 years ago

Downsample这里没有太多特殊设计，就是参考CNN的

Idiom1999 commented 2 years ago

非常感谢您这段时间的答复！ 请问您有了解过Slic超像素分割吗？对基于Slic超像素分割作为初始节点嵌入来做图像语义分割，有什么推荐的思路和方法吗？

shubhrsingh22 commented 2 years ago

Hi,

I was wondering if you could guide me to the code for visualization. I have been trying to find it but couldnt.

iamhankai commented 2 years ago

非常感谢您这段时间的答复！ 请问您有了解过Slic超像素分割吗？对基于Slic超像素分割作为初始节点嵌入来做图像语义分割，有什么推荐的思路和方法吗？

你这个思路挺好的，建议继续深挖下去！