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28 December 2022 Bronze inscription classification based on rare-class sample generator
Zhanteng Fang, Youguang Chen
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Proceedings Volume 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022); 125063J (2022) https://doi.org/10.1117/12.2661815
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2022), 2022, Beijing, China
Abstract
Bronze Inscriptions is essential to the study of ancient Chinese history. We have obtained a set of materials containing 102,338 images of bronze texts collected by experts, but the distribution of these acquired images is imbalance, with a large sample of common words but the opposite for rare words. To solve this problem, we have adopted an end-to-end enhanced rare data generation module that can generate feature maps for rare classes during the training phase. The experiment results show that the proposed model can obtain an overall average accuracy of 77.38% and a minority accuracy of 68.24%.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Zhanteng Fang and Youguang Chen "Bronze inscription classification based on rare-class sample generator", Proc. SPIE 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022), 125063J (28 December 2022); https://doi.org/10.1117/12.2661815
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KEYWORDS
Statistical modeling
Data modeling
Detection and tracking algorithms
Neural networks
Statistical analysis
Feature extraction
Image classification
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