Recent advances of few-shot learning methods and applications
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2023/03/21
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Indian UGC (journal)
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Refrences164
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Citations6
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JianYuan Wang
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KeXin Liu
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YuCheng Zhang
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Biao Leng
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JinHu Lu
Cite
Wang, JianYuan, et al. “Recent Advances of Few-Shot Learning Methods and Applications”. Science China Technological Sciences, vol. 66, no. 4, 2023, pp. 920-44, https://doi.org/10.1007/s11431-022-2133-1.
Wang, J., Liu, K., Zhang, Y., Leng, B., & Lu, J. (2023). Recent advances of few-shot learning methods and applications. Science China Technological Sciences, 66(4), 920-944. https://doi.org/10.1007/s11431-022-2133-1
Wang, JianYuan, KeXin Liu, YuCheng Zhang, Biao Leng, and JinHu Lu. “Recent Advances of Few-Shot Learning Methods and Applications”. Science China Technological Sciences 66, no. 4 (2023): 920-44. https://doi.org/10.1007/s11431-022-2133-1.
Wang J, Liu K, Zhang Y, Leng B, Lu J. Recent advances of few-shot learning methods and applications. Science China Technological Sciences. 2023;66(4):920-44.
Journal Categories
Science
Chemistry
Technology
Engineering (General)
Civil engineering (General)
Technology
Technology (General)
Industrial engineering
Management engineering
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Fast target-aware learning for few-shot video object segmentation | Science China Information Sciences |
| 9 | 2022 |
| Few-shot text classification by leveraging bi-directional attention and cross-class knowledge | Science China Information Sciences |
| 16 | 2021 |
| Li-ion battery temperature estimation based on recurrent neural networks | Science China Technological Sciences |
| 31 | 2021 |
| Task-wise attention guided part complementary learning for few-shot image classification | Science China Information Sciences |
| 41 | 2021 |
| Learning to focus: cascaded feature matching network for few-shot image recognition | Science China Information Sciences |
| 6 | 2021 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| A few-shot disease diagnosis decision making model based on meta-learning for general practice | Artificial Intelligence in Medicine |
| 1 | 2024 |
| rgfc-Forest: An enhanced deep forest method towards small-sample fault diagnosis of electromechanical system | Expert Systems with Applications |
| 1 | 2024 |
| High dimensional mislabeled learning | Neurocomputing |
| 2024 | |
Few-shot detection of surface roughness of workpieces processed by different machining techniques | Measurement Science and Technology |
| 2024 | |
| Taking a Closer Look at Factor Disentanglement: Dual-Path Variational Autoencoder Learning for Domain Generalization | IEEE Transactions on Multimedia |
| 2024 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 4
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Multi-Objective Considered Process Parameter Optimization of Welding Robots Based on Small Sample Size Dataset and was published in 2023. The most recent citation comes from a 2024 study titled Few-shot detection of surface roughness of workpieces processed by different machining techniques. This article reached its peak citation in 2024, with 5 citations. It has been cited in 6 different journals. Among related journals, the Measurement Science and Technology cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.