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View Code? Open in Web Editor NEW(NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
License: MIT License
(NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
License: MIT License
Hello! I am also in the research direction of CDFSL. I would like to know if you mentioned in your paper that EMD is used to measure the distance between domains. Is it reflected in the code? I want to refer to the code
The dataset links of 'Cars' provided seem to have encountered a 404 error. Could you please provide alternative links or additional sources for accessing the datasets mentioned? Thank you for your attention to this matter.
Hi, I have evaluated the results of 'Same Domain FSL Experiments' on miniImageNet. However, I can not run the code on the tieredImageNet, I found that the 'https://github.com/sungnyun/understanding-cdfsl/blob/main/datasets/split_seed_1/
tieredImageNet_test_unlabeled_20.csv' document can not load the dataset. So, can you provide me with the tieredImageNet which can be loaded correctly?
Excellent work and your work inspires me a lot. Can you relase you checkpoint documents of your pretrained model (eg. resnet10 on miniImagent, resnet18 on imagenet)? For the pretraining phase may take me lots of time (especially the training on Imagent). Thanks a lot.
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