SAMN applies the Pool Adjacent Violators Algorithm to directly enforce monotonicity on per-class weight norms during classifier retraining, eliminating hyperparameters while integrating with other long-tailed methods.
Fea- ture space augmentation for long-tailed data.arXiv preprint arXiv:2008.03673, 2020
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Why Not Hyperparameter-Friendly Optimisation? A Monotonic Adaptive Norm Rescaling Approach For Long-Tailed Recognition
SAMN applies the Pool Adjacent Violators Algorithm to directly enforce monotonicity on per-class weight norms during classifier retraining, eliminating hyperparameters while integrating with other long-tailed methods.