Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch

Lukas Hedegaard, Alexandros Iosifidis. Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch. In Leonid Karlinsky, Tomer Michaeli, Ko Nishino, editors, Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VII. Volume 13807 of Lecture Notes in Computer Science, pages 21-34, Springer, 2022. [doi]

@inproceedings{HedegaardI22a,
  title = {Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch},
  author = {Lukas Hedegaard and Alexandros Iosifidis},
  year = {2022},
  doi = {10.1007/978-3-031-25082-8_2},
  url = {https://doi.org/10.1007/978-3-031-25082-8_2},
  researchr = {https://researchr.org/publication/HedegaardI22a},
  cites = {0},
  citedby = {0},
  pages = {21-34},
  booktitle = {Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VII},
  editor = {Leonid Karlinsky and Tomer Michaeli and Ko Nishino},
  volume = {13807},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-25082-8},
}