Yang Yang 0087, Min Li, Bo Meng, Zihao Huang, Junxing Ren, Degang Sun. Rethinking the Misalignment Problem in Dense Object Detection. In Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III. Volume 13715 of Lecture Notes in Computer Science, pages 427-442, Springer, 2022. [doi]
@inproceedings{YangLMHRS22,
title = {Rethinking the Misalignment Problem in Dense Object Detection},
author = {Yang Yang 0087 and Min Li and Bo Meng and Zihao Huang and Junxing Ren and Degang Sun},
year = {2022},
doi = {10.1007/978-3-031-26409-2_26},
url = {https://doi.org/10.1007/978-3-031-26409-2_26},
researchr = {https://researchr.org/publication/YangLMHRS22},
cites = {0},
citedby = {0},
pages = {427-442},
booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III},
editor = {Massih-Reza Amini and Stéphane Canu and Asja Fischer and Tias Guns and Petra Kralj Novak and Grigorios Tsoumakas},
volume = {13715},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-26409-2},
}