图 书 馆
在无监督情况下物体检测和分割Unsupervised Detection and Segmentation of Identical Objects |
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| 课程网址: | http://videolectures.net/cvpr2010_cho_udas/ |
| 主讲教师: | Minsu Cho |
| 开课单位: | 首尔大学 |
| 开课时间: | 2010-07-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We address an unsupervised object detection and segmentation problem that goes beyond the conventional assumptions of one-to-one object correspondences or modeltest settings between images. Our method can detect and segment identical objects directly from a single image or a handful of images without any supervision. To detect and segment all the object-level correspondences from the given images, a novel multi-layer match-growing method is proposed that starts from initial local feature matches and explores the images by intra-layer expansion and inter-layer merge. It estimates geometric relations between object entities and establishes ‘object correspondence networks’ that connect matching objects. Experiments demonstrate robust performance of our method on challenging datasets. |
| 关 键 词: | 无监督; 物体检测; 分割 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-03-12：lxf |
| 阅读次数: | 64 |