دورية أكاديمية
Representation Learning Method for Circular Seal Based on Modified MLP-Mixer
| العنوان: | Representation Learning Method for Circular Seal Based on Modified MLP-Mixer |
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| المؤلفون: | Yuan Cao, You Zhou, Zhiwen Zhang, Enyi Yao |
| المصدر: | Entropy, Vol 25, Iss 11, p 1521 (2023) |
| بيانات النشر: | MDPI AG, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Science LCC:Astrophysics LCC:Physics |
| مصطلحات موضوعية: | seal recognition, MLP-Mixer, representation learning, Science, Astrophysics, QB460-466, Physics, QC1-999 |
| الوصف: | This study proposes Stamp-MLP, an enhanced seal impression representation learning technique based on MLP-Mixer. Instead of using the patch linear mapping preprocessing method, this technique uses circular seal remapping, which reserves the seals’ underlying pixel-level information. In the proposed Stamp-MLP, the average pooling is replaced by a global pooling of attention to extract the information more comprehensively. There were three classification tasks in our proposed method: categorizing the seal surface, identifying the product type, and distinguishing individual seals. The three tasks shared an identical dataset comprising 81 seals, encompassing 16 distinct seal surfaces, with each surface featuring six diverse product types. The experiment results showed that, in comparison to MLP-Mixer, VGG16, and ResNet50, the proposed Stamp-MLP achieved the highest classification accuracy (89.61%) in seal surface classification tasks with fewer training samples. Meanwhile, Stamp-MLP outperformed the others with accuracy rates of 90.68% and 91.96% in the product type and seal impression classification tasks, respectively. Moreover, Stamp-MLP had the fewest model parameters (2.67 M). |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1099-4300 |
| Relation: | https://www.mdpi.com/1099-4300/25/11/1521; https://doaj.org/toc/1099-4300 |
| DOI: | 10.3390/e25111521 |
| URL الوصول: | https://doaj.org/article/056fda4effc543a8b1ec25d5910f33b3 |
| رقم الأكسشن: | edsdoj.056fda4effc543a8b1ec25d5910f33b3 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 10994300 |
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| DOI: | 10.3390/e25111521 |