A salient object segmentation framework using diffusion-based affinity learning

Morteza Moradi, Farhad Bayat

Abstract: Highlights•A novel framework for saliency segmentation using affinity diffusion is proposed.•A regularized diffusion process used for learning full transition matrix.•The efficiency of two seminal affinity diffusion algorithms is evaluated.•The comparable precision to deep learning-based methods is achieved.