Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection

Cite

Text

Doan et al. "Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I2.27921

Markdown

[Doan et al. "Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/doan2024aaai-hyp/) doi:10.1609/AAAI.V38I2.27921

BibTeX

@inproceedings{doan2024aaai-hyp,
  title     = {{Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection}},
  author    = {Doan, Thang and Li, Xin and Behpour, Sima and He, Wenbin and Gou, Liang and Ren, Liu},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {1555-1563},
  doi       = {10.1609/AAAI.V38I2.27921},
  url       = {https://mlanthology.org/aaai/2024/doan2024aaai-hyp/}
}