Research report 2013 - Max Planck Institute for Informatics
Scalable learning and perception
Authors
Fritz, Mario
Departments
Computer Vision and Multimodal Computing
Summary
While humans handle 10,000 object categories with ease, today's computer vision systems recognize 1,000 categories with moderate accuracy in constraint settings. Our research addresses short comings of today's approaches by focusing on scalable inference that allows for efficient recognition at test time and scalable learning which allows for the acquisition of a large number of concepts.