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cs.CV2022★ 2 cited
Deep Metric Learning with Chance Constraints
Yeti Z. Gurbuz, Ogul Can, A. Aydin Alatan
Deep metric learning (DML) aims to minimize empirical expected loss of the pairwise intra-/inter- class proximity violations in the embedding space. We relate DML to feasibility pr…
cs.CV2022
Improved Hard Example Mining Approach for Single Shot Object Detectors
Aybora Koksal, Onder Tuzcuoglu, Kutalmis Gokalp Ince +2
Hard example mining methods generally improve the performance of the object detectors, which suffer from imbalanced training sets. In this work, two existing hard example mining ap…