8 citations · 12 across the 3 of their papers we have counts for
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cs.CV2020
Adaptive additive classification-based loss for deep metric learning
Istvan Fehervari, Ives Macedo
Recent works have shown that deep metric learning algorithms can benefit from weak supervision from another input modality. This additional modality can be incorporated directly in…
cs.LG2020★ 4 cited
Calibrated neighborhood aware confidence measure for deep metric learning
Maryna Karpusha, Sunghee Yun, Istvan Fehervari
Deep metric learning has gained promising improvement in recent years following the success of deep learning. It has been successfully applied to problems in few-shot learning, ima…