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STN-enhanced message passing guided by adversarial learning for human pose estimation | |
Zhou Lu1,2![]() ![]() ![]() ![]() ![]() | |
发表期刊 | Neurocomputing
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2021 | |
期号 | 453页码:60-72 |
摘要 | In this paper, an STN (Spatial Transformer Network)-enhanced message passing module guided by adversarial learning is proposed for human pose estimation. Transformations performed on the predicted heatmaps mean to modify the raw predictions and conduct the message passing among human joints in an elegant way. Firstly, we employ STN submodule to transform the predicted heatmap of one human joint to heatmap of its neighboring joint to remove ambiguity of its neighboring predictions. STN submodule automatically learns the geometric information between adjacent joints and thus builds related neighboring associations among them. Nevertheless, it seems difficult for STN submodule to learn inherent geometric information from a single RGB image alone. Secondly, limb guidance is introduced to assist STN in predicting corresponding correlations. Since quality of limb predictions poses great significance for the guidance, we propose to exploit adversarial learning to improve the quality of limb heatmaps which are easier to learn than precise keypoint location. Hence, the precision of STN transformation improves owing to more precise prior instructions. However, STN submodule might be confused when performing the transformation due to massive noises of the heatmaps. To circumvent this dilemma, at last, we propose to utilize Weighted Mean Square Error (WMSE) loss and convolutional random walk (CRW) which improve the performance further. Our method achieves competitive results on both MPII and LSP benchmarks. |
关键词 | Spatial transformer network Message passing Limb guidance Adversarial learning Human pose estimation |
收录类别 | SCI |
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 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44870 |
专题 | 紫东太初大模型研究中心 |
通讯作者 | Chen Yingying |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences 3.Northwestern Polytechnical University |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhou Lu,Chen Yingying,Cao Congqi,et al. STN-enhanced message passing guided by adversarial learning for human pose estimation[J]. Neurocomputing,2021(453):60-72. |
APA | Zhou Lu,Chen Yingying,Cao Congqi,Wang Jinqiao,&Lu Hanqing.(2021).STN-enhanced message passing guided by adversarial learning for human pose estimation.Neurocomputing(453),60-72. |
MLA | Zhou Lu,et al."STN-enhanced message passing guided by adversarial learning for human pose estimation".Neurocomputing .453(2021):60-72. |
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1-s2.0-S092523122100(2996KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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