A Framework for Benchmarking Real-Time Embedded Object Detection

Michael Schlosser, Daniel König, Michael Teutsch. A Framework for Benchmarking Real-Time Embedded Object Detection. In Björn Andres, Florian Bernard, Daniel Cremers, Simone Frintrop, Bastian Goldlücke, Ivo Ihrke, editors, Pattern Recognition - 44th DAGM German Conference, DAGM GCPR 2022, Konstanz, Germany, September 27-30, 2022, Proceedings. Volume 13485 of Lecture Notes in Computer Science, pages 545-559, Springer, 2022. [doi]

@inproceedings{SchlosserKT22,
  title = {A Framework for Benchmarking Real-Time Embedded Object Detection},
  author = {Michael Schlosser and Daniel König and Michael Teutsch},
  year = {2022},
  doi = {10.1007/978-3-031-16788-1_33},
  url = {https://doi.org/10.1007/978-3-031-16788-1_33},
  researchr = {https://researchr.org/publication/SchlosserKT22},
  cites = {0},
  citedby = {0},
  pages = {545-559},
  booktitle = {Pattern Recognition - 44th DAGM German Conference, DAGM GCPR 2022, Konstanz, Germany, September 27-30, 2022, Proceedings},
  editor = {Björn Andres and Florian Bernard and Daniel Cremers and Simone Frintrop and Bastian Goldlücke and Ivo Ihrke},
  volume = {13485},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-16788-1},
}