Learning Multi-scale Representations for Material Classification

@inproceedings{Li2014LearningMR,
  title={Learning Multi-scale Representations for Material Classification},
  author={Wenbin Li},
  booktitle={GCPR},
  year={2014}
}
  • Wenbin Li
  • Published in GCPR 2014
  • Computer Science
The recent progress in sparse coding and deep learning has made unsupervised feature learning methods a strong competitor to hand-crafted descriptors. In computer vision, success stories of learned features have been predominantly reported for object recognition tasks. In this paper, we investigate if and how feature learning can be used for material recognition. We propose two strategies to incorporate scale information into the learning procedure resulting in a novel multi-scale coding… Expand
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