Investigating Catastrophic Forgetting of Deep Learning Models Within Office 31 Dataset

Deep learning models have shown impressive performance in various tasks. However, they are prone to a phenomenon called catastrophic forgetting. This means they do not remember what they have learned when training on new tasks. In this research paper, we focus on catastrophic forgetting within the c...

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出版年:	IEEE Access
主要な著者:	Hidayaturrahman, Agung Trisetyarso, Iman Herwidiana Kartowisastro, Widodo Budiharto
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2024-01-01
主題:	Catastrophic forgetting deep learning office31 dataset domain adaptation
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10685350/