ReDro: Efficiently Learning Large-sized SPD Visual Representation

Saimunur Rahman; Lei Wang; Changming Sun; Luping Zhou

ECCV 2020poster12 citations

ReDro: Efficiently Learning Large-sized SPD Visual Representation

Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou

Abstract

Symmetric positive definite (SPD) matrix has recently been used as an effective visual representation. When learning this representation in deep networks, eigen-decomposition of covariance matrix is usually needed for a key step called matrix normalisation. This could result in significant computational cost, especially when facing the increasing number of channels in recent advanced deep networks.

BibTeX

@inproceedings{eccv2020_redroefficiently,
  title = {ReDro: Efficiently Learning Large-sized SPD Visual Representation},
  author = {Saimunur Rahman and Lei Wang and Changming Sun and Luping Zhou},
  booktitle = {ECCV 2020},
  year = {2020}
}