图 书 馆
搜索由上下文驱动的对象Searching for objects driven by context |
|
| 课程网址: | http://videolectures.net/machine_alexe_searching_objects/ |
| 主讲教师: | Bogdan Alexe |
| 开课单位: | 苏黎世联邦理工学院 |
| 开课时间: | 2013-01-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The dominant visual search paradigm for object class detection is sliding windows. Although simple and effective, it is also wasteful, unnatural and rigidly hardwired. We propose strategies to search for objects which intelligently explore the space of windows by making sequential observations at locations decided based on previous observations. Our strategies adapt to the class being searched and to the content of a particular test image. Their driving force is exploiting context as the statistical relation between the appearance of a window and its location relative to the object, as observed in the training set. In addition to being more elegant than sliding windows, we demonstrate experimentally on the PASCAL VOC 2010 dataset that our strategies evaluate two orders of magnitude fewer windows while at the same time achieving higher detection accuracy. |
| 关 键 词: | 对象类检测; 类和特定测试图像; 滑动窗口 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-16：yumf |
| 阅读次数: | 23 |