Authors
Samy Bengio, Jeff Dean, Dumitru Erhan, Eugene Ie, Quoc Le, Andrew Rabinovich, Jonathon Shlens, Yoram Singer
Publication date
2013/12/19
Journal
arXiv preprint arXiv:1312.5697
Description
Abstract: Object recognition and localization are important tasks in computer vision. The
focus of this work is the incorporation of contextual information in order to improve object
recognition and localization. For instance, it is natural to expect not to see an elephant to
appear in the middle of an ocean. We consider a simple approach to encapsulate such
common sense knowledge using co-occurrence statistics from web documents. By merely
counting the number of times nouns (such as elephants, sharks, oceans, etc.) co-occur in ...
Total citations
201420152016335
Scholar articles
S Bengio, J Dean, D Erhan, E Ie, Q Le, A Rabinovich… - arXiv preprint arXiv:1312.5697, 2013