MOCD combines O-Mix synthetic ambiguity samples with an HSIC debiasing loss to improve open-set recognition in multi-view classification, reporting gains over seven baselines on six datasets.
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Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing
MOCD combines O-Mix synthetic ambiguity samples with an HSIC debiasing loss to improve open-set recognition in multi-view classification, reporting gains over seven baselines on six datasets.