A generative model for multi class object recognition and detection

Ulusoy I.

ARTIFICIAL INTELLIGENCE AND NEURAL NETWORKS, vol.3949, pp.32-40, 2006 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 3949
  • Publication Date: 2006
  • Journal Name: ARTIFICIAL INTELLIGENCE AND NEURAL NETWORKS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, EMBASE, MathSciNet, Philosopher's Index, zbMATH
  • Page Numbers: pp.32-40
  • Middle East Technical University Affiliated: Yes

Abstract

In this study, a generative type probabilistic model is proposed for object recognition. This model is trained by weakly labelled images and performs classification and detection at the same time. When test on highly challenging data sets, the model performs good for both tasks (classification and detection).