Salient object detection based on an efficient End-to-End Saliency Regression Network
Salient object detection based on an efficient End-to-End Saliency Regression Network is a scholarly work, published in 2019 in ''Neurocomputing''. The main subjects of the publication include image, object, software pipeline, feature engineering, salient, deep learning, artificial intelligence, digital image processing, computer vision, object detection, benchmark, pattern recognition, and computer science. In order to address this issue, authors propose an efficient and simple salient object detection architecture based on saliency regression network.