CIFAR100-LT

Long-tailed classification has been extensively studied in recent years due to its importance in real-world applications with heavily imbalanced data distribution.

Data and Resources

Cite this as

Yixuan Zhou, Yi Qu, Xing Xu, Hengtao Shen (2024). Dataset: CIFAR100-LT. https://doi.org/10.57702/funsk4np

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2204.13208
Citation
  • https://doi.org/10.48550/arXiv.2209.10365
Author Yixuan Zhou
More Authors
Yi Qu
Xing Xu
Hengtao Shen
Homepage https://www.cs.toronto.edu/~kriz/cifar.html