![](https://dblp.uni-trier.de./img/logo.320x120.png)
![search dblp search dblp](https://dblp.uni-trier.de./img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de./img/search.dark.16x16.png)
default search action
"Improving the Pedestrian Detection Performance in the Absence of Rich ..."
Juliana Negrini de Araujo et al. (2022)
- Juliana Negrini de Araujo, Vasile Palade, Tabassom Sedighi, Alireza Daneshkhah
:
Improving the Pedestrian Detection Performance in the Absence of Rich Training Datasets: A UK Case Study. Adv. Artif. Intell. Mach. Learn. 2(1): 315-337 (2022)
![](https://dblp.uni-trier.de./img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.