Open Access
| Issue |
ITM Web Conf.
Volume 78, 2025
International Conference on Computer Science and Electronic Information Technology (CSEIT 2025)
|
|
|---|---|---|
| Article Number | 04014 | |
| Number of page(s) | 8 | |
| Section | Foundations and Frontiers in Multimodal AI, Large Models, and Generative Technologies | |
| DOI | https://doi.org/10.1051/itmconf/20257804014 | |
| Published online | 08 September 2025 | |
- F. Su, Q. Lü and R. Luo, “Research Review on Image Classification Based on Deep Learning,” Telecommunications Science, vol. 35, no. 11, pp. 58–74, 2019. [Google Scholar]
- H. Wu, B. Xiao, N. Codella, M. Liu, X. Dai, L. Yuan and L. Zhang, “CvT: Introducing Convolutions to Vision Transformers,” in Proc. IEEE/CVF Int. Conf. Computer Vision (ICCV), Montreal, QC, Canada, 2021, pp. 22–31, doi: 10.1109/ICCV48922.2021.00009. [Google Scholar]
- Y. Lecun, Y. Bengio and G. Hinton, “Deep learning,” Nature, vol. 521, no. 7553, pp. 436–444, 2015, doi: 10.1038/nature14539. [CrossRef] [PubMed] [Google Scholar]
- Y. Qing, W. Liu, L. Feng, et al., “Improved transformer net for hyperspectral image classification,” Remote Sensing, vol. 13, no. 11, p. 2216, Jun. 2021. [Google Scholar]
- A. Dosovitskiy, L. Beyer, A. Kolesnikov, et al., “An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,” arXiv preprint, arXiv:2010.11929, 2020. [Google Scholar]
- N.V.B.K. Sai and R. Ishwariya, “Deep Learning Based Binary Classification of Invasive Ductal Carcinoma: A Comparative Study on CNN and VIT Models,” in Proc. IEEE Int. Women in Engineering Conf. Electrical and Computer Engineering (WIECON-ECE), Chennai, India, 2024, pp. 398–403, doi: 10.1109/WIECON-ECE64149.2024.10915172. [Google Scholar]
- H. Liu, X. Sun, Y. Li, et al., “Overview of Deep Learning Models for Image Classification Based on Convolutional Neural Networks,” Computer Engineering and Applications, pp. 1–29, 2025. [Online]. Available: http://kns.cnki.net/kcms/detail/11.2127.TP.20250213.1223.013.html. [Google Scholar]
- K. Zuo, H. Liang, D. Wang, et al., “Co-Saliency Detection Based on Multi-Scale Feature Extraction and Feature Fusion,” in Proc. 4th Int. Conf. Control and Robotics (ICCR), Guangzhou, China, 2022, pp. 364–368, doi: 10.1109/ICCR55715.2022.10053903. [Google Scholar]
- R. Li, “Research on Fine-Grained Image Classification Recognition Fusing Attention and Multi-Scale ViT,” M.S. thesis, Jiangxi Science and Technology Normal University, China, 2024, doi: 10.27751/d.cnki.gjxkj.2024.000225. [Google Scholar]
- J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li and L. Fei-Fei, “ImageNet: A large-scale hierarchical image database,” in Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Miami, FL, USA, 2009, pp. 248–255, doi: 10.1109/CVPR.2009.5206848. [Google Scholar]
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