Integrating parametric and non-parametric models for scene labeling

@article{Shuai2015IntegratingPA,
  title={Integrating parametric and non-parametric models for scene labeling},
  author={Bing Shuai and Gang Wang and Zhen Zuo and Bing Wang and Lifan Zhao},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={4249-4258}
}
We adopt Convolutional Neural Networks (CNN) as our parametric model to learn discriminative features and classifiers for local patch classification. As visually similar pixels are indistinguishable from local context, we alleviate such ambiguity by introducing a global scene constraint. We estimate the global potential in a non-parametric framework. Furthermore, a large margin based CNN metric learning method is proposed for better global potential estimation. The final pixel class prediction… CONTINUE READING
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