A fast method for estimating transient scene attributes

@article{Baltenberger2016AFM,
  title={A fast method for estimating transient scene attributes},
  author={Ryan Baltenberger and Menghua Zhai and Connor Greenwell and Scott Workman and Nathan Jacobs},
  journal={2016 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  year={2016},
  pages={1-8}
}
We propose the use of deep convolutional neural networks to estimate the transient attributes of a scene from a single image. Transient scene attributes describe both the objective conditions, such as the weather, time of day, and the season, and subjective properties of a scene, such as whether or not the scene seems busy. Recently, convolutional neural networks have been used to achieve state-of-the-art results for many vision problems, from object detection to scene classification, but have… CONTINUE READING

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