PPT-Objectness

Author : faustina-dinatale | Published Date : 2016-06-07

amp Face Detection 赵海伟戴嘉伦王如晨 CVBIOUC Ocean University of China 指导教师郑海永 Object detection The limitations and failures of Object

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Objectness: Transcript

amp Face Detection 赵海伟戴嘉伦王如晨 CVBIOUC Ocean University of China 指导教师郑海永 Object detection The limitations and failures of Object detection . We observe that generic objects with well de64257ned closed boundary can be discriminated by looking at the norm of gradients with a suitable resizing of their cor responding image windows in to a small 64257xed size Based on this observation and co ironically maintains the precious-objectness of her work and keeps it in the elite realm of the art world, allowing collectors to 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. Binarized. Normed Gradients for . Objectness. Estimation at 300fps. CVPR 2014 Oral. Outline. 1. . Introduction. 2.. . Methodology. 2.1 Normed . gradients (NG) and . objectness. 2.2 Learning . objectness. 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 . 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. 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. BING: Binarized Normed Gradients for Objectness Estimation at . Ming-Ming Cheng. 1. Ziming Zhang. 2. Wen-Yan Li. 1. Philip H. S. Torr. 1. 1. Torr . Vision Group, Oxford . University . 2. Boston . University. 1. Motivation: Generic . object detection.

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