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Assessing the quality of action research

Research Papers in Education, 2007
This contribution constitutes an attempt to distil quality criteria for assessing educational action research from examples of action research that the author has directly experienced in the course of his career. As such it effects a reconciliation between the idea of quality as an object of direct and immediate experience and as an object of more ...
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End-To-End Learning for Action Quality Assessment

2018
Nowadays, action quality assessment has attracted more and more attention of the researchers in computer vision. In this paper, an end-to-end framework is proposed based on fragment-based 3D convolutional neural network to realize the action quality assessment in videos.
Yongjun Li 0004   +2 more
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Learning and fusing multiple hidden substages for action quality assessment

Knowledge-Based Systems, 2021
Abstract Many of the existing methods for action quality assessment implement single-stage score regression networks that lack pertinence and rationality for the evaluation task. In this work, our target is to find a reasonable action quality assessment method for sports competitions that conforms to objective evaluation rules and field experience ...
Li-Jia Dong   +5 more
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Temporal attention learning for action quality assessment in sports video

Signal, Image and Video Processing, 2021
This paper proposes an end-to-end temporal attention learning method to improve the performance of action quality assessment in sports video. For temporal weighted training, an attention-learning module is built to simulate the attention mechanism and judgement preference of human perception on action quality assessment.
Qing Lei, Hongbo Zhang 0002, Jixiang Du
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Assessing data quality: A managerial call to action

Business Horizons, 2020
Abstract While awareness of data quality has increased in recent years, there have been very few studies on the actual level of data quality within organizations. This article outlines the analysis of 75 data quality assessments collected over the course of 2 years from a wide range of organizations, data sets, and business processes.
Tadhg Nagle, Tom Redman, David Sammon
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S3D: Stacking Segmental P3D for Action Quality Assessment

2018 25th IEEE International Conference on Image Processing (ICIP), 2018
Action quality assessment is crucial in areas of sports, surgery and assembly line where action skills can be evaluated. In this paper, we propose the Segment-based P3D-fused network S3D built-upon ED-TCN and push the performance on the UNLV-Dive dataset by a significant margin.
Xiang Xiang 0001   +4 more
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Human-Centric Fine-Grained Action Quality Assessment

IEEE Transactions on Pattern Analysis and Machine Intelligence
Existing action quality assessment (AQA) methods mainly learn deep representations at the video level to score diverse actions. Due to the lack of a fine-grained understanding of actions in videos, they suffer from low credibility and accuracy, thus insufficient for stringent applications, such as competitive sports and sports injury rehabilitation. We
Jinglin Xu, Sibo Yin, Yuxin Peng 0001
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End-to-end Action Quality Assessment with Action Parsing Transformer

2023 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2023
Hang Fang   +2 more
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Multi-Stage Action Quality Assessment Method

2023 4th International Conference on Control, Robotics and Intelligent System, 2023
Langxi Liu   +3 more
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Action Quality Assessment for ASD Behaviour Evaluation

2023 International Conference on Machine Learning and Cybernetics (ICMLC), 2023
Dinghuang Zhang   +2 more
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