LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization

Zhiwei Chen, Changan Wang, Yabiao Wang, Guannan Jiang, Yunhang Shen, Ying Tai, Chengjie Wang, Wei Zhang, Liujuan Cao. LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization. In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022. pages 410-418, AAAI Press, 2022. [doi]

@inproceedings{ChenWWJSTWZC22,
  title = {LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization},
  author = {Zhiwei Chen and Changan Wang and Yabiao Wang and Guannan Jiang and Yunhang Shen and Ying Tai and Chengjie Wang and Wei Zhang and Liujuan Cao},
  year = {2022},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/19918},
  researchr = {https://researchr.org/publication/ChenWWJSTWZC22},
  cites = {0},
  citedby = {0},
  pages = {410-418},
  booktitle = {Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022},
  publisher = {AAAI Press},
  isbn = {978-1-57735-876-3},
}