Master Thesis: Understanding Images from News Media (Dietz, Ponzetto, Weiland)

Object detection in images from news articles is a very challenging task. On the one hand, available training data for object detectors is only available for a limited number of classes such as persons, bikes, oranges. On the other hand, it is complicated through complex scenes of different objects in front important backgrounds.

Task of this thesis is to train new object detectors towards classes that are important to understand news articles on the topics of global warming, biodiversity, and sustainability.

If interested, please contact Prof. Simone Paolo Ponzetto.