Exploring loss functions for optimising the accuracy of Siamese neural networks in re-identification applications

Autor: Jonathan Eichild Schmidt, Oscar E. Mäkinen, Simon G. Nielsen, Anders S. Johansen, Kamal Nasrollahi, Thomas B. Moeslund

Publikováno v: Schmidt, J E, Mäkinen, O E, Flou Nielsen, S G, Johansen, A S, Nasrollahi, K & Moeslund, T B 2022, Exploring loss functions for optimising the accuracy of Siamese Neural Networks in Re-Identification applications . in W Osten, D Nikolaev & J Zhou (eds), Fourteenth International Conference on Machine Vision, ICMV 2021 ., 120840W, SPIE-International Society for Optical Engineering, Proceedings of SPIE, the International Society for Optical Engineering, vol. 12084, Fourteenth International Conference on Machine Vision (ICMV 2021), 2021, Rome, Italy, 08/11/2021 . https://doi.org/10.1117/12.2622634

As Re-Identification (Re-ID) is becoming more and more common in today’s world, the need for more optimizedalgorithms also becomes more wanted. This is due to the importance of high accuracy as the consequences ofan incorrect match can mean securit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::073dd8c1cffb252cb79015e623661626
https://doi.org/10.1117/12.2622634