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Jiequan Cui
ورقة واحدة في مجموعة PaperMetrix
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Improving Calibration for Long-Tailed Recognition
2021 · arXiv (Cornell University)
Deep neural networks may perform poorly when training datasets are heavily class-imbalanced. Recently, two-stage methods decouple representation learning and classifier learning to improve performance. But there is still the vital issue of miscalibration. To address …