Automatic Annotation for Weakly Supervised Pedestrian Detection

Francisco J. Garcia-Espinosa, Antonio S. Montemayor, Alfredo Cuesta-Infante. Automatic Annotation for Weakly Supervised Pedestrian Detection. In José Manuel Ferrández de Vicente, José Ramón Álvarez Sánchez, Félix de la Paz López, Hojjat Adeli, editors, Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 - June 3, 2022, Proceedings, Part II. Volume 13259 of Lecture Notes in Computer Science, pages 308-317, Springer, 2022. [doi]

@inproceedings{Garcia-Espinosa22,
  title = {Automatic Annotation for Weakly Supervised Pedestrian Detection},
  author = {Francisco J. Garcia-Espinosa and Antonio S. Montemayor and Alfredo Cuesta-Infante},
  year = {2022},
  doi = {10.1007/978-3-031-06527-9_30},
  url = {https://doi.org/10.1007/978-3-031-06527-9_30},
  researchr = {https://researchr.org/publication/Garcia-Espinosa22},
  cites = {0},
  citedby = {0},
  pages = {308-317},
  booktitle = {Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 - June 3, 2022, Proceedings, Part II},
  editor = {José Manuel Ferrández de Vicente and José Ramón Álvarez Sánchez and Félix de la Paz López and Hojjat Adeli},
  volume = {13259},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-06527-9},
}