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"A Theoretically Sound Upper Bound on the Triplet Loss for Improving the ..."

Thanh-Toan Do et al. (2019)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2023-08-15

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1904-08720
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1904-08720
Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CoRR abs/1904.08720 (2019)

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