IEEE Access · 2025 · Journal article

Enhancing Task-Incremental Learning via a Prompt-Based Hybrid Convolutional Neural Networks (CNNs)-Vision Transformer (ViT) Framework

Zuomin Yang, A. S. M. Khairuddin, Joon Huang Chuah, W. Wong, Xin Xu, H. M. Noman, Qiyuan Qin

Citations: 3

Cite

@article{yang2025enhancing,
  title = {Enhancing Task-Incremental Learning via a Prompt-Based Hybrid Convolutional Neural Networks (CNNs)-Vision Transformer (ViT) Framework},
  author = {Zuomin Yang and A. S. M. Khairuddin and Joon Huang Chuah and W. Wong and Xin Xu and H. M. Noman and Qiyuan Qin},
  year = {2025},
  journal = {IEEE Access},
  doi = {10.1109/ACCESS.2025.3597020},
  url = {https://doi.org/10.1109/ACCESS.2025.3597020},
}