Zero-shot incremental learning using spatial-frequency feature representations
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Zhao, Y
Zhang, W
Sun, C
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Zero-shot incremental learning aims to enable a model to generalize to new classes without forgetting previously learned classes. However, the semantic gap between old and new sample classes can lead to catastrophic forgetting. Additionally, existing algorithms lack the ability to capture significant information from each sample image domain. Therefore, this paper proposes a novel spatial-frequency feature representation network (SFFRNet) that contains a spatial feature extraction (SFE) module and a frequency feature extraction (FFE) module to improve the zero-shot translation for the class incremental learning algorithm. The proposed SFFRNet has the ability to effectively extract spatial-frequency feature representation from input images, improve the accuracy of image classification, and fundamentally alleviate catastrophic forgetting. Extensive experiments on the CUB 200-2011 and CIFAR-100 datasets demonstrate that our proposed algorithm outperforms state-of-the-art incremental learning algorithms.
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Scientific Reports
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15
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© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
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Ren, J; Zhao, Y; Zhang, W; Sun, C, Zero-shot incremental learning using spatial-frequency feature representations, Scientific Reports, 2025, 15, pp. 10932