A Combined Convolutional Neural Network and Potential Region-Of-Interest Model for Saliency Detection

作者：Hu Yu^*; Liang Zhen; Chi Zheru; Fu Hong

来源：11th International Conference on Natural Computation (ICNC) / 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015-08-15 to 2015-08-17.

• saliency map
• saliency detection
• machine learning
• convolutional neural networks

A saliency detection model for approaching the human performance is a challenging research topic. In this paper, a new saliency model is proposed to detect saliency in natural scenes by using a trained convolutional neural network and a region-based validation method. The convolutional neural network (CNN) focuses on image details and local contrast of an image, while the region-based validation method focus on global information. Experimental results show that the two components of the model are complementary for each other in producing high-quality saliency maps.

• 出版日期2015
• 单位香港理工大学