Transferability of Convolutional Neural Networks in Stationary Learning Tasks

Recent advances in hardware and big data acquisition have accelerated the development of deep learning techniques. For an extended period of time, increasing the model complexity has led to performance improvements for various tasks. However, this trend is becoming unsustainable and there is a need...

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Veröffentlicht in:	arXiv.org 2023-07
Hauptverfasser:	Owerko, Damian, Kanatsoulis, Charilaos I, Bondarchuk, Jennifer, Bucci, Donald J, Ribeiro, Alejandro
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Cognitive tasks Data acquisition Deep learning Machine learning Multiple target tracking Neural networks Performance degradation Task complexity
Online-Zugang:	Volltext
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