图 书 馆
“按构图聚类”用于无监督发现图像类别“Clustering by Composition” for Unsupervised Discovery of Image Categories |
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| 课程网址: | http://videolectures.net/eccv2012_faktor_image/ |
| 主讲教师: | Tinne Tuytelaars, Alon Faktor, Serge J. Belongie |
| 开课单位: | 魏茨曼科学研究所 |
| 开课时间: | 2012-11-12 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We define a good image cluster as one in which images can be easily composed (like a puzzle) using pieces from each other, while are difficult to compose from images outside the cluster. The larger and more statistically significant the pieces are, the stronger the affinity between the images. This gives rise to unsupervised discovery of very challenging image categories. We further show how multiple images can be composed from each other simultaneously and efficiently using a collaborative randomized search algorithm. This collaborative process exploits the wisdom of crowds of images , to obtain a sparse yet meaningful set of image affinities, and in time which is almost linear in the size of the image collection. ''Clustering-by- Composition'' can be applied to very few images (where a 'cluster model' can not be 'learned') as well as on benchmark evaluation datasets, and yields state-of-the-art results. |
| 关 键 词: | 图像组成; 线性关系; 拼图 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-03-20：lxf |
| 阅读次数: | 51 |