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.
Exploring weight bal- ancing on long-tailed recognition problem.arXiv preprint arXiv:2305.16573, 2024
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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.