Deep Unfolded Tensor Robust PCA with Self-supervised Learning

Harry Dong, Megna Shah, Sean Donegan +1

Tensor robust principal component analysis (RPCA), which seeks to separate a low-rank tensor from its sparse corruptions, has been crucial in data science and machine learning wher…