ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation

Xing et al. "ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I3.25401

[Xing et al. "ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/xing2023aaai-roiformer/) doi:10.1609/AAAI.V37I3.25401

@inproceedings{xing2023aaai-roiformer,
  title     = {{ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation}},
  author    = {Xing, Daitao and Shen, Jinglin and Ho, Chiuman and Tzes, Anthony},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {2983-2991},
  doi       = {10.1609/AAAI.V37I3.25401},
  url       = {https://mlanthology.org/aaai/2023/xing2023aaai-roiformer/}
}