Метод інкрементального навчання для класифікації зображень в комп’ютерному зорі
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Date
2023
Authors
Крещенко, Тарас
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Abstract
The paper tests the hypothesis that Continual Learning (CL) methods can improve the performance of a deep learning model in a traditional machine learning scenario. The hypothesis is tested on a parking lot occupancy detection problem, and compared to contemporary solutions that are non-CL based.
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Keywords
deep learning, continual learning, incremental learning, CNN, parking, occupancy detection, master thesis