A Data-driven Metric for Comprehensive Evaluation of Saliency Models Jia Li1,2∗ , Changqun Xia1 , Yafei Song1 , Shu Fang3 , Xiaowu Chen1∗ 1 State Key Laboratory of Virtual Reality Technology and Systems, School of Co

First Page		Document Content
Date: 2015-10-24 14:56:31 Neuroscience Neuropsychology Nervous system Statistical classification Computer vision Image processing Saliency map Attention Receiver operating characteristic Metric Binary classification Amphetamine		A Data-driven Metric for Comprehensive Evaluation of Saliency Models Jia Li1,2∗ , Changqun Xia1 , Yafei Song1 , Shu Fang3 , Xiaowu Chen1∗ 1 State Key Laboratory of Virtual Reality Technology and Systems, School of Co Add to Reading List Source URL: www.cv-foundation.org Download Document from Source Website File Size: 870,51 KB Share Document on Facebook

	Coarse Geometry and Randomness Itai Benjamini October 30, 2013 Contents 1 Introductory graph and metric notions DocID: 1xW27 - View Document
	Quantitative property A, Poincar´e inequalities, Lp-compression and Lp-distortion for metric measure spaces. Romain Tessera September 1, 2008 Abstract DocID: 1xVUo - View Document
	Metric sparsification and operator norm localization Xiaoman Chen, Romain Tessera, Xianjin Wang, Guoliang Yu November 13, 2007 Abstract We study an operator norm localization property and its applications DocID: 1xVxn - View Document
	BOPS, Not FLOPS! A New Metric, Measuring Tool, and Roofline Performance Model For Datacenter Computing Chen Zheng ICT，CAS DocID: 1xVt0 - View Document
	Collaborative Metric Learning Cheng-Kang Hsieh‡ , Longqi Yang† ,Yin Cui† , Tsung-Yi Lin† , Serge Belongie† , Deborah Estrin† ‡ ‡ UCLA; † Cornell Tech DocID: 1xVpw - View Document