F3 Комп'ютерні науки

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Освітньо-наукова програма: "Комп'ютерні науки"

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Continual Learning Method for image classification in computer vision
(2024) Kreshchenko, Taras; Yushchenko, Yurii
The paper explores the hypothesis that Continual Learning (CL) methods can improve the performance of a deep learning model in a traditional machine learning scenario. By augmenting an existing state-of-the-art ML solution to a problem with CL techniques, this research aims to demonstrate that AI can still achieve more accurate and adaptive performance. This hypothesis is tested on a parking lot occupancy detection problem, a binary classification problem that is well-suited to CL due to the continuous stream of image data. Experiments are conducted to compare the proposed CL-based solution and a contemporary solution that is non-CL based.
Метод інкрементального навчання для класифікації зображень в комп’ютерному зорі
(2023) Крещенко, Тарас; Ющенко, Юрій
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.