From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement

no code implementations • CVPR 2015 • Marko Ristin, Juergen Gall, Matthieu Guillaumin, Luc van Gool

Compared to approaches that disregard the extra coarse labeled data, we achieve a relative improvement in subcategory classification accuracy of up to 22% in our large-scale image classification experiments.

Classification General Classification +1

Incremental Learning of NCM Forests for Large-Scale Image Classification

no code implementations • CVPR 2014 • Marko Ristin, Matthieu Guillaumin, Juergen Gall, Luc van Gool

NCMFs not only outperform conventional random forests, but are also well suited for integrating new classes.

Classification General Classification +2