Jiabo He, Sarah M. Erfani, Xingjun Ma, James Bailey 0001, Ying Chi, Xian-Sheng Hua 0001. $\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 20230-20242, 2021. [doi]
@inproceedings{HeEMBCH21,
title = {$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression},
author = {Jiabo He and Sarah M. Erfani and Xingjun Ma and James Bailey 0001 and Ying Chi and Xian-Sheng Hua 0001},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/a8f15eda80c50adb0e71943adc8015cf-Abstract.html},
researchr = {https://researchr.org/publication/HeEMBCH21},
cites = {0},
citedby = {0},
pages = {20230-20242},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}