Dense Face Network: A Dense Face Detector Based on Global Context and Visual Attention Mechanism
文献类型：期刊论文
| 作者 | Lin Song1; Jin-Fu Yang1,2; Qing-Zhen Shang1; Ming-Ai Li1 |
| 刊名 | Machine Intelligence Research
 |
| 出版日期 | 2022 |
| 卷号 | 19期号:3页码:247-256 |
| ISSN号 | 2731-538X |
| DOI | 10.1007/s11633-022-1327-2 |
| 英文摘要 | Face detection has achieved tremendous strides thanks to convolutional neural networks. However, dense face detection remains an open challenge due to large face scale variation, tiny faces, and serious occlusion. This paper presents a robust, dense face detector using global context and visual attention mechanisms which can significantly improve detection accuracy. Specifically, a global context fusion module with top-down feedback is proposed to improve the ability to identify tiny faces. Moreover, a visual attention mechanism is employed to solve the problem of occlusion. Experimental results on the public face datasets WIDER FACE and FDDB demonstrate the effectiveness of the proposed method. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/55944]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | 1.Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China 2.Beijing Key Laboratory of Computational Intelligence and Intelligent Systems, Beijing 100124, China |
| 推荐引用方式 GB/T 7714 | Lin Song,Jin-Fu Yang,Qing-Zhen Shang,et al. Dense Face Network: A Dense Face Detector Based on Global Context and Visual Attention Mechanism[J]. Machine Intelligence Research,2022,19(3):247-256. |
| APA | Lin Song,Jin-Fu Yang,Qing-Zhen Shang,&Ming-Ai Li.(2022).Dense Face Network: A Dense Face Detector Based on Global Context and Visual Attention Mechanism.Machine Intelligence Research,19(3),247-256. |
| MLA | Lin Song,et al."Dense Face Network: A Dense Face Detector Based on Global Context and Visual Attention Mechanism".Machine Intelligence Research 19.3(2022):247-256. |
入库方式： OAI收割
来源：自动化研究所
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