Face detection based on multi task learning and multi layer feature fusion | |
Zhang YA(张延安)2; Wang HY(王宏玉)1; Xu F(徐方)1 | |
2017 | |
会议日期 | October 21-22, 2017 |
会议地点 | Dalian, China |
关键词 | Face Detection Facial Feature Point Location Deep Convolution Neural Network Multi Task Learning Feature Fusion |
页码 | 289-293 |
英文摘要 | Face detection and facial feature location are two key parts of face recognition system. Usually, these two links are treated as two separate tasks, ignoring the correlation between tasks. In addition, most of the face detection algorithms based on deep convolution neural networks focus only on high-level semantic information of the image, and do not take full advantage of the underlying details of the image. In order to further improve the performance of face detection, we propose a face detection algorithm based on multi task learning and multilayer feature fusion. The proposed method integrates three tasks, namely, face classification, facial feature location, and bounding box regression, into a framework that takes full advantage of the correlation between multiple tasks and performs simultaneous learning over multiple tasks. At the same time, in order to make full use of the low-level details and high-level semantic information of the image, multi layer feature fusion technology is adopted. Finally, we test it on the face detection evaluation database FDDB. Experimental results show that the proposed algorithm has good performance in face detection. |
源文献作者 | Dalian International Talent Exchange Association ; Dalian Jiaotong University ; Dalian Municipal Bureau of Foreign Experts ; Northeast Normal University ; Ritsumeikan University |
产权排序 | 1 |
会议录 | Proceedings of 2017 6th International Conference on Computer Science and Network Technology, ICCSNT 2017 |
会议录出版者 | IEEE |
会议录出版地 | New York |
语种 | 英语 |
ISBN号 | 978-1-5386-0492-2 |
内容类型 | 会议论文 |
源URL | [http://119.78.100.139/handle/173321/22114] |
专题 | 沈阳自动化研究所_其他 |
通讯作者 | Zhang YA(张延安) |
作者单位 | 1.Shenyang SIASUN Robot and Automation Co. LTD., Shenyang, China 2.State Key Laboratory of Robotics, Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China |
推荐引用方式 GB/T 7714 | Zhang YA,Wang HY,Xu F. Face detection based on multi task learning and multi layer feature fusion[C]. 见:. Dalian, China. October 21-22, 2017. |
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