题名 | Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation |
作者 | |
DOI | |
发表日期 | 2023
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ISSN | 1063-6919
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ISBN | 979-8-3503-0130-4
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会议录名称 | |
页码 | 5537-5546
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会议日期 | 17-24 June 2023
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会议地点 | Vancouver, BC, Canada
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摘要 | A central challenge in human pose estimation, as well as in many other machine learning and prediction tasks, is the generalization problem. The learned network does not have the capability to characterize the prediction error, generate feedback information from the test sample, and correct the prediction error on the fly for each individual test sample, which results in degraded performance in generalization. In this work, we introduce a self-correctable and adaptable inference (SCAI) method to address the generalization challenge of network prediction and use human pose estimation as an example to demonstrate its effectiveness and performance. We learn a correction network to correct the prediction result conditioned by a fitness feedback error. This feedback error is generated by a learned fitness feedback network which maps the prediction result to the original input domain and compares it against the original input. Interestingly, we find that this self-referential feedback error is highly correlated with the actual prediction error. This strong correlation suggests that we can use this error as feedback to guide the correction process. It can be also used as a loss function to quickly adapt and optimize the correction network during the inference process. Our extensive experimental results on human pose estimation demonstrate that the proposed SCAI method is able to significantly improve the generalization capability and performance of human pose estimation. |
关键词 | |
学校署名 | 第一
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相关链接 | [IEEE记录] |
收录类别 | |
WOS记录号 | WOS:001058542605084
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来源库 | IEEE
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全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10205053 |
引用统计 |
被引频次[WOS]:3
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成果类型 | 会议论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/559173 |
专题 | 工学院_电子与电气工程系 |
作者单位 | Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China |
第一作者单位 | 电子与电气工程系 |
第一作者的第一单位 | 电子与电气工程系 |
推荐引用方式 GB/T 7714 |
Zhehan Kan,Shuoshuo Chen,Ce Zhang,et al. Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation[C],2023:5537-5546.
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条目包含的文件 | 条目无相关文件。 |
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