Knowledge Commons of Institute of Automation,CAS
Bi- Directional Message Passing Based SCANet for Human Pose Estimation | |
Zhou Lu1,2; Chen Yingying1,2; Wang Jinqiao1,2; Tang Ming1,2; Lu Hanqing1,2 | |
2019 | |
会议名称 | International Conference on Multimedia and Expo |
会议日期 | 7.08-7.12 |
会议地点 | 上海 |
摘要 | Articulated human pose estimation is one of the fundamental computer vision problems. In this paper, a Bi-directional Message Passing(BDMP) module is proposed to fuse convolutional features of different scales in the up-sampling process of the hourglass model for human pose estimation. Moreover, a novel module which integrates Spatial and Channelwise Attention Network(SCANet) is proposed to refine the features obtained from the message passing stage. We design a Semantics-aware Channel-wise Attention(SACWA) module to reduce the feature redundancy and enrich the semantic information simultaneously. A Sharper Spatial Attention(SSA) module based on the Gumbel-Softmax sampling is proposed to exclude the interference from cluttered background and overcomes the gradient degradation induced by the softmax normalization. The proposed framework achieves leading position on MPII benchmark against the state-of-the-arts methods with much less parameters. |
收录类别 | EI |
七大方向——子方向分类 | 图像视频处理与分析 |
国重实验室规划方向分类 | 视觉信息处理 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44608 |
专题 | 紫东太初大模型研究中心 |
作者单位 | 1.Institute of Automation Chinese Academy of Sciences 2.University of Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhou Lu,Chen Yingying,Wang Jinqiao,et al. Bi- Directional Message Passing Based SCANet for Human Pose Estimation[C],2019. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
BI-DIRECTIONAL MESSA(882KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论