Corpus ID: 1849990

Learning Deep Features for Scene Recognition using Places Database

@inproceedings{Zhou2014LearningDF,
  title={Learning Deep Features for Scene Recognition using Places Database},
  author={Bolei Zhou and {\`A}gata Lapedriza and Jianxiong Xiao and Antonio Torralba and Aude Oliva},
  booktitle={NIPS},
  year={2014}
}
  • Bolei Zhou, Àgata Lapedriza, +2 authors Aude Oliva
  • Published in NIPS 2014
  • Computer Science
  • Scene recognition is one of the hallmark tasks of computer vision, allowing definition of a context for object recognition. [...] Key Method We propose new methods to compare the density and diversity of image datasets and show that Places is as dense as other scene datasets and has more diversity. Using CNN, we learn deep features for scene recognition tasks, and establish new state-of-the-art results on several scene-centric datasets. A visualization of the CNN layers' responses allows us to show differences…Expand Abstract

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