SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection

Babak Ehteshami Bejnordi, AmirHossein Habibian, Fatih Porikli, Amir Ghodrati. SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection. In Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner, editors, Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part X. Volume 13670 of Lecture Notes in Computer Science, pages 300-316, Springer, 2022. [doi]

@inproceedings{BejnordiHPG22,
  title = {SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection},
  author = {Babak Ehteshami Bejnordi and AmirHossein Habibian and Fatih Porikli and Amir Ghodrati},
  year = {2022},
  doi = {10.1007/978-3-031-20080-9_18},
  url = {https://doi.org/10.1007/978-3-031-20080-9_18},
  researchr = {https://researchr.org/publication/BejnordiHPG22},
  cites = {0},
  citedby = {0},
  pages = {300-316},
  booktitle = {Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part X},
  editor = {Shai Avidan and Gabriel J. Brostow and Moustapha Cissé and Giovanni Maria Farinella and Tal Hassner},
  volume = {13670},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-20080-9},
}