Unpaired image translation to mitigate domain shift in liquid argon time projection chamber detector responses

Deep learning algorithms often are developed and trained on a training dataset and deployed on test datasets. Any systematic difference between the training and a test dataset may severely degrade the final algorithm performance on the test dataset—what is known as the domain shift problem . This is...

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Bibliografske podrobnosti

Principais autores:	Yi Huang, Dmitrii Torbunov, Brett Viren, Haiwang Yu, Jin Huang, Meifeng Lin, Yihui Ren
Format:	Artigo
Jezik:	Inglês
Izdano:	IOP Publishing 2024-01-01
Serija:	Machine Learning: Science and Technology
Teme:	unpaired image translation neutrino experiment liquid argon time projection chamber detector response deep neural network domain adaptation
Online dostop:	https://doi.org/10.1088/2632-2153/ad849c
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