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Found 2 papers, 1 papers with code
Reviving Undersampling for Long-Tailed Learning
In this paper, we aim to enhance the accuracy of the worst-performing categories and utilize the harmonic mean and geometric mean to assess the model's performance.
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning
The convention in long-tailed recognition is to manually split all categories into three subsets and report the average accuracy within each subset.
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