[CVPR2022] This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at CVPR 2022
License: BSD 2-Clause "Simplified" License
Hi friend, I see in table 4 you report result with RandAugment and without RandAugment (only use Horizontal flip and Random Crop). But in cifar100-LT config you set train transform is Horizontal flip and Random Crop. Can you achieve 53.31 (ensemble is 54.42) with train transform is Horizontal flip and Random Crop?
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