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Knowledge Graph Embedding-Based Domain Adaptation for Musical Instrument Recognition
2021
Computers
Convolutional neural networks raised the bar for machine learning and artificial intelligence applications, mainly due to the abundance of data and computations. However, there is not always enough data for training, especially when it comes to historical collections of cultural heritage where the original artworks have been destroyed or damaged over time. Transfer Learning and domain adaptation techniques are possible solutions to tackle the issue of data scarcity. This article presents a new
doi:10.3390/computers10080094
fatcat:jflkr5uwqvazdop2pfhsqj73lq