图 书 馆
野外费舍尔矢量面孔Fisher Vector Faces in the Wild |
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| 课程网址: | http://videolectures.net/bmvc2013_simonyan_vector_faces/ |
| 主讲教师: | Karen Simonyan |
| 开课单位: | 牛津大学 |
| 开课时间: | 2014-04-03 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Several recent papers on automatic face verification have significantly raised the performance bar by developing novel, specialised representations that outperform standard features such as SIFT for this problem. This paper makes two contributions: first, and somewhat surprisingly, we show that Fisher vectors on densely sampled SIFT features, i.e. an off-the-shelf object recognition representation, are capable of achieving state-of-the-art face verification performance on the challenging “Labeled Faces in the Wild” benchmark; second, since Fisher vectors are very high dimensional, we show that a compact descriptor can be learnt from them using discriminative metric learning. This compact descriptor has a better recognition accuracy and is very well suited to large scale identification tasks. |
| 关 键 词: | 自动人脸验证; 远程教育; 投射学习 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-12-14：wujk |
| 最后编审: | 2023-12-14：wujk |
| 阅读次数: | 24 |