Comments (1)
yinboc
commented on June 9, 2024
Thanks for your interest in our work.
This is a good point. We use the input size of 80x80 because some of recent works use 80x80 (e.g. LEO) and we wish to have a strict fair comparison to them.
Using the input size of 84x84 (as many of other recent works did) has similar results. Actually it should be slightly better than using 80x80 if I remember correctly.
from few-shot-meta-baseline.
Related Issues (20)
- cite
- Question about the meta-test. HOT 2
- Thank you for your attention HOT 5
- The expected results are not achieved on the tiered-imagenet HOT 9
- 训练自己的数据集 HOT 2
- How did you get the encoder that you shared in the git hub project? HOT 1
- An error occurred during operation
- classifier related to baseline in Closer look at few-shot leawrning
- some training problems using "max_epoch=100"
- 您好，meta-learning会导致新类别泛化能力下降，那么为什么还会提升classifier-baseline的性能呢？ HOT 2
- partition of dataset
- The question of distance selection
- how to run on CPU?
- 关于encoder训练的问题
- How do I know what the real category of tieredImagenet is?
- EOFError: Ran out of input HOT 1
- tval_dataset uses the test dataset?
- Hello, could you please upload these three data sets? I think they are pickle files, thank you very much。
- I think the URL of miniImagenet is outdated, could you please upload it again?
- I think the URL of miniImagenet is outdated, could you please upload it again? Thank you very much.
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from few-shot-meta-baseline.