Emanuele Ledda, Lorenzo Putzu, Rita Delussu, Andrea Loddo, Giorgio Fumera. How Realistic Should Synthetic Images Be for Training Crowd Counting Models?. In Nicolas Tsapatsoulis, Andreas Panayides, Theo Theocharides, Andreas Lanitis, Constantinos S. Pattichis, Mario Vento, editors, Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Virtual Event, September 28-30, 2021, Proceedings, Part II. Volume 13053 of Lecture Notes in Computer Science, pages 46-56, Springer, 2021. [doi]
@inproceedings{LeddaPDLF21,
title = {How Realistic Should Synthetic Images Be for Training Crowd Counting Models?},
author = {Emanuele Ledda and Lorenzo Putzu and Rita Delussu and Andrea Loddo and Giorgio Fumera},
year = {2021},
doi = {10.1007/978-3-030-89131-2_5},
url = {https://doi.org/10.1007/978-3-030-89131-2_5},
researchr = {https://researchr.org/publication/LeddaPDLF21},
cites = {0},
citedby = {0},
pages = {46-56},
booktitle = {Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Virtual Event, September 28-30, 2021, Proceedings, Part II},
editor = {Nicolas Tsapatsoulis and Andreas Panayides and Theo Theocharides and Andreas Lanitis and Constantinos S. Pattichis and Mario Vento},
volume = {13053},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-89131-2},
}