BGHR: Bridging the Gap Between HBox-Supervised and RBox-Supervised Oriented Object Detection via Adaptive Fine-Grained Sample Mining

Chenlin Fu, Yingying Zhu 0001. BGHR: Bridging the Gap Between HBox-Supervised and RBox-Supervised Oriented Object Detection via Adaptive Fine-Grained Sample Mining. In Toby Walsh, Julie Shah, Zico Kolter, editors, AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA. pages 3022-3030, AAAI Press, 2025. [doi]

@inproceedings{Fu025,
  title = {BGHR: Bridging the Gap Between HBox-Supervised and RBox-Supervised Oriented Object Detection via Adaptive Fine-Grained Sample Mining},
  author = {Chenlin Fu and Yingying Zhu 0001},
  year = {2025},
  doi = {10.1609/aaai.v39i3.32310},
  url = {https://doi.org/10.1609/aaai.v39i3.32310},
  researchr = {https://researchr.org/publication/Fu025},
  cites = {0},
  citedby = {0},
  pages = {3022-3030},
  booktitle = {AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA},
  editor = {Toby Walsh and Julie Shah and Zico Kolter},
  publisher = {AAAI Press},
  isbn = {978-1-57735-897-8},
}