Our Research

Speaker: Christoph Lampert, researcher at Institute of Science and Technology, Klosterneuburg, Austria

Attribute-based categorization is the task of classifying images based on a description of the target class. Because it does not rely on training examples to build a class model, it allows tackling seemingly impossible tasks, such as zero-shot learning. In the talk I will give an overview into the working mechanisms of attribute-based categorization, in particular highlighting its use for fine-grained categorization, where classes are visually similar and training examples are rare, but discriminative knowledge by human experts is often available.