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KaihuaTang / Long-Tailed-Recognition.pytorch

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

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Cifar Validation set

sxontheway opened this issue · comments

commented

Hello. I found in ImbalanceCIFAR.py, the validation set and the test set seem to be the same. Is it better to use a balanced training set (50000 frames) as the validation set instead of using the 10000 frame test set for validation? Thanks!

commented

Thank you for your advice. We noticed the same problem when we were working on Imbalanced CIFAR. However, since this split is adopted by all the previous methods, we have to use the same split for fair comparisons.