Panoptic Segmentation Meets Remote Sensing

@article{Carvalho2021PanopticSM,
  title={Panoptic Segmentation Meets Remote Sensing},
  author={Osmar Luiz Ferreira de Carvalho and Osmar Ab'ilio de Carvalho J'unior and Cristiano Rosa e Silva and Anesmar Olino de Albuquerque and N{\'i}ckolas Castro Santana and D{\'i}bio Leandro Borges and Roberto Arnaldo Trancoso Gomes and Renato Fontes Guimar{\~a}es},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.12126}
}
Panoptic segmentation combines instance and semantic predictions, allowing the detection of countable objects and different backgrounds simultaneously. Effectively approaching panoptic segmentation in remotely sensed data is very promising since it provides a complete classification, especially in areas with many elements as the urban setting. However, some difficulties have prevented the growth of this task: (a) it is very laborious to label large images with many classes, (b) there is no… 

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