Scene Detection in De Boer Historical Photo Collection

Autor: Wevers, M., Rocha, A.P., Steels, L., van den Herik, J.
Přispěvatelé: ASH (FGw)
Rok vydání: 2021
Předmět:
Zdroj: ICAART (1)
ICAART 2021 : Proceedings of the 13th International Conference on Agents and Artificial Intelligence : February 4-6, 2021.-Volume 1: ARTIDIGH 2021, Vienna, Austria, 601-610
STARTPAGE=601;ENDPAGE=610;TITLE=ICAART 2021 : Proceedings of the 13th International Conference on Agents and Artificial Intelligence : February 4-6, 2021.-Volume 1
DOI: 10.5220/0010288206010610
Popis: This paper demonstrates how transfer learning can be used to improve scene detection applied to a historical press photo collection. After applying transfer learning to a pre-trained Places-365 ResNet-50 model, we achieve a Top-1 accuracy of .68 and a Top-5 accuracy of .89 on our data set, which consists of 132 categories. In addition to describing our annotation and training strategy, we also reflect on the use of transfer learning and the evaluation of computer vision models for heritage institutes.
Databáze: OpenAIRE