English

Semantic Robot Vision Challenge: Current State and Future Directions

Computer Vision and Pattern Recognition 2009-08-20 v1 Robotics

Abstract

The Semantic Robot Vision Competition provided an excellent opportunity for our research lab to integrate our many ideas under one umbrella, inspiring both collaboration and new research. The task, visual search for an unknown object, is relevant to both the vision and robotics communities. Moreover, since the interplay of robotics and vision is sometimes ignored, the competition provides a venue to integrate two communities. In this paper, we outline a number of modifications to the competition to both improve the state-of-the-art and increase participation.

Keywords

Cite

@article{arxiv.0908.2656,
  title  = {Semantic Robot Vision Challenge: Current State and Future Directions},
  author = {Scott Helmer and David Meger and Pooja Viswanathan and Sancho McCann and Matthew Dockrey and Pooyan Fazli and Tristram Southey and Marius Muja and Michael Joya and Jim Little and David Lowe and Alan Mackworth},
  journal= {arXiv preprint arXiv:0908.2656},
  year   = {2009}
}

Comments

The IJCAI-09 Workshop on Competitions in Artificial Intelligence and Robotics, Pasadena, California, USA, July 11-17, 2009

R2 v1 2026-06-21T13:36:42.534Z