Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection

Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, Jose M. Alvarez. Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. In Marina Meila, Tong Zhang 0001, editors, Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Volume 139 of Proceedings of Machine Learning Research, pages 1463-1472, PMLR, 2021. [doi]

@inproceedings{ChangYWAFA21,
  title = {Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection},
  author = {Nadine Chang and Zhiding Yu and Yu-Xiong Wang and Animashree Anandkumar and Sanja Fidler and Jose M. Alvarez},
  year = {2021},
  url = {http://proceedings.mlr.press/v139/chang21c.html},
  researchr = {https://researchr.org/publication/ChangYWAFA21},
  cites = {0},
  citedby = {0},
  pages = {1463-1472},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event},
  editor = {Marina Meila and Tong Zhang 0001},
  volume = {139},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}