Multi-class object detection with BAdaCost.
This repo has a modified version of Piotr Dollar toolbox (Matlab and C++ code) to replicate the experiments we made for our Cost-Sensitive Multiclass algorithm paper. If you use this code for your own research, you must reference our journal paper:
- BAdaCost: Multi-class Boosting with Costs. Antonio Fernández-Baldera, José M. Buenaposada, and Luis Baumela. Pattern Recognition, Elsevier. In press, 2018. DOI:10.1016/j.patcog.2018.02.022
Replicate paper experiments or simply use our trained classifiers.
Our modifications to P.Dollar toolbox have only been tested on GNU/Linux Matlab. To replicate paper experiments you have to: