QQ客服 官方微博 反馈留言

	A Data-driven Metric for Comprehensive Evaluation of Saliency Models
	Li, Jia ; Xia, Changqun ; Song, Yafei ; Fang, Shu ; Chen, Xiaowu
	2015
关键词	VISUAL SALIENCY
英文摘要	In the past decades, hundreds of saliency models have been proposed for fixation prediction, along with dozens of evaluation metrics. However, existing metrics, which are often heuristically designed, may draw conflict conclusions in comparing saliency models. As a consequence, it becomes somehow confusing on the selection of metrics in comparing new models with state-of-the-arts. To address this problem, we propose a data-driven metric for comprehensive evaluation of saliency models. Instead of heuristically designing such a metric, we first conduct extensive subjective tests to find how saliency maps are assessed by the human-being. Based on the user data collected in the tests, nine representative evaluation metrics are directly compared by quantizing their performances in assessing saliency maps. Moreover, we propose to learn a data-driven metric by using Convolutional Neural Network. Compared with existing metrics, experimental results show that the data-driven metric performs the most consistently with the human-being in evaluating saliency maps as well as saliency models.; EI; CPCI-S(ISTP); jiali@buaa.edu.cn; chen@buaa.edu.cn; 190-198; 11-18-December-2015
语种	英语
出处	IEEE International Conference on Computer Vision
DOI标识	10.1109/ICCV.2015.30
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436291]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Li, Jia,Xia, Changqun,Song, Yafei,et al. A Data-driven Metric for Comprehensive Evaluation of Saliency Models. 2015-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。