A classifier-guided approach for top-down salient object detection

作者：

Highlights：

• A joint framework for image classification and top-down saliency estimation.

• Image classifier is used to train saliency models, and to refine the saliency map.

• Saliency maps are used to weight the image classifier for improving its accuracy.

• A computationally efficient category-aware sparse coding strategy is proposed.

摘要

Highlights•A joint framework for image classification and top-down saliency estimation.•Image classifier is used to train saliency models, and to refine the saliency map.•Saliency maps are used to weight the image classifier for improving its accuracy.•A computationally efficient category-aware sparse coding strategy is proposed.

论文关键词：Saliency,Top-down saliency,Image classification,Semantic segmentation

论文评审过程：Received 7 September 2015, Revised 11 April 2016, Accepted 11 April 2016, Available online 13 April 2016, Version of Record 27 April 2016.

论文官网地址：https://doi.org/10.1016/j.image.2016.04.001