Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing

Leonardo Rossi, Akbar Karimi, Andrea Prati 0001. Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing. In Nicolas Tsapatsoulis, Andreas Panayides, Theo Theocharides, Andreas Lanitis, Constantinos S. Pattichis, Mario Vento, editors, Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Virtual Event, September 28-30, 2021, Proceedings, Part I. Volume 13052 of Lecture Notes in Computer Science, pages 476-486, Springer, 2021. [doi]

@inproceedings{RossiKP21,
  title = {Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing},
  author = {Leonardo Rossi and Akbar Karimi and Andrea Prati 0001},
  year = {2021},
  doi = {10.1007/978-3-030-89128-2_46},
  url = {https://doi.org/10.1007/978-3-030-89128-2_46},
  researchr = {https://researchr.org/publication/RossiKP21},
  cites = {0},
  citedby = {0},
  pages = {476-486},
  booktitle = {Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Virtual Event, September 28-30, 2021, Proceedings, Part I},
  editor = {Nicolas Tsapatsoulis and Andreas Panayides and Theo Theocharides and Andreas Lanitis and Constantinos S. Pattichis and Mario Vento},
  volume = {13052},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-89128-2},
}