Results 261 to 270 of about 515,184 (299)

Dual-referenced assistive network for action quality assessment

Neurocomputing
Yi Tian, Yaping Huang
exaly   +2 more sources

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, Xiujuan Chai, Xilin Chen 0001   +2 more
openaire   +1 more source

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, Hongbo Zhang 0002, Qinghongya Shi, Qing Lei, Ji-Xiang Du, Shangce Gao   +5 more
openaire   +1 more source

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
openaire   +1 more source

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, Ye Tian, Austin Reiter, Gregory D. Hager, Trac D. Tran   +4 more
openaire   +1 more source

Adaptive Spatiotemporal Graph Transformer Network for Action Quality Assessment [PDF]

IEEE Transactions on Circuits and Systems for Video Technology
Long video action quality assessment (AQA) aims to evaluate the performance of long-term actions depicted in a video and produce an overall assessment for action quality.
Jiang Liu, Huasheng Wang, Wei Zhou 0021, Katarzyna Stawarz, Padraig Corcoran, Ying Chen 0011, Hantao Liu   +6 more
openaire   +2 more sources

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
openaire   +2 more sources

End-to-end Action Quality Assessment with Action Parsing Transformer

2023 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2023
Hang Fang, Wengang Zhou 0001, Houqiang Li   +2 more
openaire   +1 more source

Action Quality Assessment With Ignoring Scene Context

2021 IEEE International Conference on Image Processing (ICIP), 2021
Takasuke Nagai, Shoichiro Takeda, Masaaki Matsumura, Shinya Shimizu, Susumu Yamamoto   +4 more
openaire   +1 more source

Multi-Stage Action Quality Assessment Method

2023 4th International Conference on Control, Robotics and Intelligent System, 2023
Langxi Liu, Pengjun Zhai, Dulei Zheng, Yu Fang 0006   +3 more
openaire   +1 more source