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Comparing Class-Aware and Pairwise Loss Functions for Deep Metric Learning in Wildlife Re-Identification †
Similarity learning using deep convolutional neural networks has been applied extensively in solving computer vision problems. This attraction is supported by its success in one-shot and zero-shot classification applications. The advances in similarity learning are essential for smaller datasets or...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472616/ https://www.ncbi.nlm.nih.gov/pubmed/34577319 http://dx.doi.org/10.3390/s21186109 |