FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models

Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao. FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{YangXKSZ23,
  title = {FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models},
  author = {Lihe Yang and Xiaogang Xu and Bingyi Kang and Yinghuan Shi and Hengshuang Zhao},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/3ba7560b4c3e66d760fbdd472cf4a5a9-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/YangXKSZ23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}