Saliency detection via double nuclear norm maximization and ensemble manifold regularization

In recent years, salient object detection via robust principal component analysis (RPCA) has received a significant amount of attention. Existing methods generally replace the rank function by the nuclear norm to obtain low-rank and sparse matrices, ignores the heavy-tailed distributions of singular values and over-penalizes large singular values of low rank matrices. In addition, although the manifold regularization is introduced into RPCA to...