DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection

• Published in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 678 - 686
• Main Authors: Nian Liu, Junwei Han
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2016
• Subjects: Computational modeling; Computer architecture; Context; Context modeling; Feature extraction; Neural networks; Object detection

Traditional salient object detection models often use hand-crafted features to formulate contrast and various prior knowledge, and then combine them artificially. In this work, we propose a novel end-to-end deep hierarchical saliency network (DHSNet) based on convolutional neural networks for detect...