Selective Search for Object Recognition

@article{Uijlings2013SelectiveSF,
  title={Selective Search for Object Recognition},
  author={J. Uijlings and K. V. D. Sande and Theo Gevers and A. Smeulders},
  journal={International Journal of Computer Vision},
  year={2013},
  volume={104},
  pages={154-171}
}
  • J. Uijlings, K. V. D. Sande, +1 author A. Smeulders
  • Published 2013
  • Computer Science
  • International Journal of Computer Vision
  • This paper addresses the problem of generating possible object locations for use in object recognition. [...] Key Method Instead of a single technique to generate possible object locations, we diversify our search and use a variety of complementary image partitionings to deal with as many image conditions as possible. Our selective search results in a small set of data-driven, class-independent, high quality locations, yielding 99 % recall and a Mean Average Best Overlap of 0.879 at 10,097 locations. The…Expand Abstract
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