@inproceedings{ecba01d56e1247c48d492c33ffbb8ec8,
title = "SAR Incremental Learning via Generative Adversarial Network and Experience Replay",
abstract = "Incremental learning is a viable approach for addressing the recognition problem of SAR images in data stream scenarios. However, it may suffer from catastrophic forgetting due to insufficient exposure to old category data during training. This paper proposes the integration of a generative adversarial network (GAN) into the iCaRL model to mitigate catastrophic forgetting by generating samples from previously learned categories. Experimental results on our SAR dataset demonstrate that our approach significantly enhances the recognition performance of the iCaRL model.",
keywords = "Generative adversarial network, Incremental learning, SAR target recognition",
author = "Fei Gao and Chen Fan and Penghui Chen and Amir Hussain and Huiyu Zhou",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 13th International Conference on Brain Inspired Cognitive Systems, BICS 2023 ; Conference date: 05-08-2023 Through 06-08-2023",
year = "2024",
doi = "10.1007/978-981-97-1417-9\_32",
language = "英语",
isbn = "9789819714162",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "345--353",
editor = "Jinchang Ren and Amir Hussain and Liao, \{Iman Yi\} and Rongjun Chen and Kaizhu Huang and Huimin Zhao and Xiaoyong Liu and Ping Ma and Thomas Maul",
booktitle = "Advances in Brain Inspired Cognitive Systems - 13th International Conference, BICS 2023, Proceedings",
address = "德国",
}