@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.
Hi， I try to use trace to implement the Pre-normalization and Post-compensation, but I find that the trace of covariance matrix might be negative which make sqrt operation wrong.
so, Could I ask if we can guarantee that the trace of covariance matrix is positive, or use some operation to make sure it is positive.
Hi， I try to use trace to implement the Pre-normalization and Post-compensation, but I find that the trace of covariance matrix might be negative which make sqrt operation wrong.
so, Could I ask if we can guarantee that the trace of covariance matrix is positive, or use some operation to make sure it is positive.