Semantic Robot Vision Challenge

The Semantic Robot Vision Challenge (abbreviated SRVC) is a research competition that is designed to push the state of the art in image understanding and automatic acquisition of knowledge from large unstructured databases of images (such as those generally found on the web). In this competition, fully autonomous robots receive a text list of objects that they are to find. They use the web to automatically find image examples of those objects in order to learn visual models. These visual models are then used to identify the objects in the robot's cameras.

  If you are interested in being notified when there is an update to this web page, want to keep up with the discussion as the rules evolve, or are just interested in this effort, please feel free to subscribe to the announcement mailing list by clicking this link. A separate list meant for higher-volume discussions about the rules and directions of the event can be found by clicking this link.  
  Paul E. Rybski
prybski+srvc [at] cs [dot] cmu [dot] edu

  Daniel DeMenthon
Daniel.DeMenthon [at] jhuapl [dot] edu
  Prior Sponsors: