Frontiers · 2024 · Journal article

Expandable-RCNN: toward high-efficiency incremental few-shot object detection

Yiting Li, Sichao Tian, Haiyue Zhu, Yeying Jin, Keqing Wang, Jun Ma, Cheng Xiang, Prahlad Vadakkepat

National University of Singapore · Chinese Academy of Medical Sciences & Peking Union Medical College · Agency for Science, Technology and Research · Singapore Institute of Manufacturing Technology · HKUST Shenzhen Research Institute

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Published in: Frontiers in Artificial Intelligence
Date: 2024-04-23
Citations: 2

Cite

@article{li2024expandablercnn,
  title = {Expandable-RCNN: toward high-efficiency incremental few-shot object detection},
  author = {Yiting Li and Sichao Tian and Haiyue Zhu and Yeying Jin and Keqing Wang and Jun Ma and Cheng Xiang and Prahlad Vadakkepat},
  year = {2024},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2024.1377337},
  url = {https://doi.org/10.3389/frai.2024.1377337},
}