图 书 馆
发现相对属性的空间范围Discovering the Spatial Extent of Relative Attributes |
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| 课程网址: | http://videolectures.net/iccv2015_xiao_relative_attributes/ |
| 主讲教师: | Fanyi Xiao |
| 开课单位: | 加州大学戴维斯分校 |
| 开课时间: | 2016-02-10 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We present a weakly-supervised approach that discovers the spatial extent of relative attributes, given only pairs of ordered images. In contrast to traditional approaches that use global appearance features or rely on keypoint detectors, our goal is to automatically discover the image regions that are relevant to the attribute, even when the attribute’s appearance changes drastically across its attribute spectrum. To accomplish this, we first develop a novel formulation that combines a detector with local smoothness to discover a set of coherent visual chains across the image collection. We then introduce an efficient way to generate additional chains anchored on the initial discovered ones. Finally, we automatically identify the most relevant visual chains, and create an ensemble image representation to model the attribute. Through extensive experiments, we demonstrate our method’s promise relative to several baselines in modeling relative attributes. |
| 关 键 词: | 空间范围; 相对属性; 监督方法 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-07-13：chenxin01 |
| 最后编审: | 2023-10-10：liyy |
| 阅读次数: | 20 |