This repository is the code of the paper "Sparse Spatial Transformers for Few-Shot Learning" (SCIENCE CHINA Information Sciences).
License: MIT License
I am Haoxing Chen. Now, I'm an AI researcher at Tiansuan Lab, Ant Group.
In https://github.com/chenhaoxing/SSFormers/blob/main/modules/encoder/init.py, the model wrn doesn't exist.
There is another way to download the pre-trained weights? I wasn't able to create a baidu account to download it.
Thanks for your excellent work! I am a newer ready to submit SCIS journal, but fail to compile the official latex template on my own computer, even following some instructions on zhihu. Could you give me some advice on your latex compiler configuration?
Hello author, I read your paper and am very interested in the way you visualize the patch attention in Figure 5 Visualization of the mask and sparse attention. Could you share the visualization method or visualization code if it is convenient?
Experiment specification of parameters:
ST.feat_dim=64
k_shot: 1
train:
query_per_class_per_episode: 8
model:
query: "ST"
forward_encoding: "Grid-3,2"
test:
query_per_class_per_episode: 8
batch_size: 1
Looking forward to your reply, thanks
how to apply the pretrained backbone in the next training procedure
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