A generative model for multi class object recognition and detection

Ulusoy I.

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

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 3949
  • Basım Tarihi: 2006
  • Dergi Adı: ARTIFICIAL INTELLIGENCE AND NEURAL NETWORKS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, EMBASE, MathSciNet, Philosopher's Index, zbMATH
  • Sayfa Sayıları: ss.32-40
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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).