PPT-BING: Binarized Normed Gradients for Objectness Estimation at 300fps

MingMing Cheng 1 Ziming Zhang 2 WenYan Li 1 Philip H S Torr 1 1 Torr Vision Group Oxford University 2 Boston University 1 Motivation Generic object detection. gutmannhelsinki Dept of Mathematics Statistics Dept of Computer Science and HIIT University of Helsinki aapohyvarinenhelsinki Abstract We present a new estimation principle for parameterized statistical models The idea is to perform nonlinear logist ,. . The Bang. ,. . and. . The . Boom. The Five-Paragraph Essay. Did you say . FIVE . paragraphs?. Yes. Yes,. I did say that.. But never. fear! It’s easy with the . bing. , the . bang. , and the . Binarized Normed Gradients for Objectness Estimation at 300fps. Ming-Ming Cheng. 1. Ziming Zhang. 2. Wen-Yan Li. 1. Philip H. S. Torr. 1. 1. Torr . Vision Group, Oxford . University . Scene Analysis and . Applications. 报告人：程明明. 南开大学、计算机与控制工程学. 院. http://mmcheng.net/. Contents. Global . contrast based salient region . detection. ,. PAMI 2014. Properties . on Convective Initiation in the Sahel. Amanda . Gounou. (1). , Christopher Taylor. (2) . , Francoise . Guichard. (1). , Phil Harris. (2) . , Richard Ellis. (2). , Fleur . Couvreux. (1). and Martin De . By . Zhangliliang. Characteristics. No . bbox. . groundtruth. needed while training. HCP infrastructure is robust to noisy. No explicit hypothesis label (reason: use CNN). Pre-train CNN from . ImageNet. Binarized Normed Gradients for Objectness Estimation at 300fps. Ming-Ming Cheng. 1. Ziming Zhang. 2. Wen-Yan Li. 1. Philip H. S. Torr. 1. 1. Torr . Vision Group, Oxford . University . Patterns of Diversity. Yesterday, Today, and Tomorrow. Ryan Burner. Community Ecology. 23 April 2013. scholar.google.com. Education. University . of Copenhagen, Denmark, Biology, B.Sc., . 1988. University of Wisconsin, USA, visiting graduate . By Jacob . Lindenman. Detroit facts. Detroit installed the first mile of paved concrete road.. Detroit is also home to the first urban freeway the Davison.. Is the city that consumes the most potato chips.. Ming-Ming Cheng . . Ziming. Zhang . . Wen-Yan Lin . . Philip . Torr. The University of Oxford . . Boston University . . Brookes Vision Group. 2014 IEEE Conference on Computer Vision and Pattern Recognition. Training Neural Networks II. Connelly Barnes. Overview. Preprocessing. Improving convergence. Initialization. Vanishing/exploding gradients problem. Improving generalization. Batch normalization. Dropout. Ilya . Razenshteyn. . (Microsoft Research Redmond). joint with. Alexandr. . Andoni. ,. Assaf . Naor. ,. Aleksandar . Nikolov. ,. Erik . Waingarten. How to measure distances?. Metric spaces. Normed spaces. Thomas Gruber1 Reiner Rummel1 Radboud Koop21 Institut fr Astronomische und Physikalische Geodsie IAPG Technische Universitt Mnchen Germany e-mail ThomasGruberbvtu-muenchende 2 SRON Netherlands Institu Presented at:. International . Conference on Biomedical . Engineering (ICBME) 2013. by . R. Srivastava. 1. , X. Gao. 1. , F. Yin. 1. , D. Wong. 1. , J. Liu. 1. ,. C.Y. Cheung. 2. , T.Y. Wong. 2. Institute for Infocomm Research, Singapore.