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Deep Metric Learning Using Negative Sampling Probability Annealing
Multiple studies have concluded that the selection of input samples is key for deep metric learning. For triplet networks, the selection of the anchor, positive, and negative pairs is referred to as triplet mining. The selection of the negatives is considered the be the most complicated task, due to...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572431/ https://www.ncbi.nlm.nih.gov/pubmed/36236678 http://dx.doi.org/10.3390/s22197579 |