Why Approximate Matrix Square Root Outperforms Accurate SVD in Global
Covariance Pooling?
Yue Song, Nicu Sebe, and Wei Wang
DISI, University of Trento, Trento, Italy
{yue.song nicu.sebe wei.wang}@unitn.it
Abstract
Global Covariance Pooling (GCP) aims at exploiting
the second-order statistics of the convolutional feature. Its
effectiveness has been demonstrated in boosting the clas-
sification performance of ...


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