Domen Tabernik

  • Citations Per Year
Learn More
In this paper we identify two types of problems with excessive feature sharing and the lack of discriminative learning in hierarchical compositional models: (a) similar categorymisclassifications and (b) phantom detections in background objects. We propose to overcome those issues by fully utilizing a discriminative features already present in the(More)
In recent years, hierarchical compositional models have been shown to possess many appealing properties for the object class detection such as coping with potentially large number of object categories. The reason is that they encode categories by hierarchical vocabularies of parts which are shared among the categories. On the downside, the sharing and(More)
  • 1