Hypercolumns for object segmentation and fine-grained localization

@article{Hariharan2015HypercolumnsFO,
  title={Hypercolumns for object segmentation and fine-grained localization},
  author={Bharath Hariharan and Pablo Andr{\'e}s Arbel{\'a}ez and Ross B. Girshick and Jitendra Malik},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={447-456}
}
Recognition algorithms based on convolutional networks (CNNs) typically use the output of the last layer as a feature representation. However, the information in this layer may be too coarse spatially to allow precise localization. On the contrary, earlier layers may be precise in localization but will not capture semantics. To get the best of both worlds, we define the hypercolumn at a pixel as the vector of activations of all CNN units above that pixel. Using hypercolumns as pixel descriptors… CONTINUE READING
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