Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information

Guanchun Wang, Xiangrong Zhang, Zelin Peng, Xu Tang, Huiyu Zhou 0001, Licheng Jiao. Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information. In Luc De Raedt, editor, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022. pages 1378-1384, ijcai.org, 2022. [doi]

@inproceedings{WangZPT0J22,
  title = {Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information},
  author = {Guanchun Wang and Xiangrong Zhang and Zelin Peng and Xu Tang and Huiyu Zhou 0001 and Licheng Jiao},
  year = {2022},
  doi = {10.24963/ijcai.2022/192},
  url = {https://doi.org/10.24963/ijcai.2022/192},
  researchr = {https://researchr.org/publication/WangZPT0J22},
  cites = {0},
  citedby = {0},
  pages = {1378-1384},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022},
  editor = {Luc De Raedt},
  publisher = {ijcai.org},
}