38 citations · 67 across the 8 of their papers we have counts for
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cs.CV2022★ 3 cited
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition
Saptarshi Sinha, Hiroki Ohashi
Long-tailed datasets, where head classes comprise much more training samples than tail classes, cause recognition models to get biased towards the head classes. Weighted loss is on…
cs.CV2022★ 38 cited
Class-Difficulty Based Methods for Long-Tailed Visual Recognition
Saptarshi Sinha, Hiroki Ohashi, Katsuyuki Nakamura
Long-tailed datasets are very frequently encountered in real-world use cases where few classes or categories (known as majority or head classes) have higher number of data samples…