17.1.4.25 Action Quality Evaluation

Chapter Contents (Back)
Action Quality. Can include sports performance scoring applications.
See also Action Segmentation, Action Start.

Jain, H.[Hiteshi], Harit, G.[Gaurav], Sharma, A.[Avinash],
Action Quality Assessment Using Siamese Network-Based Deep Metric Learning,
CirSysVideo(31), No. 6, June 2021, pp. 2260-2273.
IEEE DOI 2106
Measurement, Task analysis, Quality assessment, Feature extraction, Sports, Training, Automatic scoring, deep metric learning BibRef

Li, H.Y.[Hui-Ying], Lei, Q.[Qing], Zhang, H.B.[Hong-Bo], Du, J.X.[Ji-Xiang], Gao, S.[Shangce],
Skeleton-based deep pose feature learning for action quality assessment on figure skating videos,
JVCIR(89), 2022, pp. 103625.
Elsevier DOI 2212
Action quality assessment, Figure skating sport videos, Spatial-temporal pose feature extraction, Action relation learning BibRef

Zhang, S.J.[Shao-Jie], Pan, J.H.[Jia-Hui], Gao, J.[Jibin], Zheng, W.S.[Wei-Shi],
Semi-Supervised Action Quality Assessment With Self-Supervised Segment Feature Recovery,
CirSysVideo(32), No. 9, September 2022, pp. 6017-6028.
IEEE DOI 2209
Videos, Task analysis, Quality assessment, Training, Semisupervised learning, Annotations, Data models, semi-supervised learning BibRef

Gedik, E.[Ekin], Olenick, J.[Jeffrey], Chang, C.H.[Chu-Hsiang], Kozlowski, S.W.J.[Steve W.J.], Hung, H.[Hayley],
Capturing Interaction Quality in Long Duration (Simulated) Space Missions With Wearables,
AffCom(14), No. 3, July 2023, pp. 2139-2152.
IEEE DOI 2310
BibRef

Du, Z.X.[Ze-Xing], He, D.[Di], Wang, X.[Xue], Wang, Q.[Qing],
Learning Semantics-Guided Representations for Scoring Figure Skating,
MultMed(26), 2024, pp. 4987-4997.
IEEE DOI 2404
Videos, Semantics, Visualization, Sports, Training, Feature extraction, Games, Figure skating videos, sports video analysis, action quality assessment BibRef

Xu, J.L.[Jing-Lin], Rao, Y.M.[Yong-Ming], Zhou, J.[Jie], Lu, J.W.[Ji-Wen],
Procedure-Aware Action Quality Assessment: Datasets and Performance Evaluation,
IJCV(132), No. 12, December 2024, pp. 6069-6090.
Springer DOI 2501
BibRef

Gedamu, K.[Kumie], Ji, Y.L.[Yan-Li], Yang, Y.[Yang], Shao, J.[Jie], Shen, H.T.[Heng Tao],
Self-Supervised Sub-Action Parsing Network for Semi-Supervised Action Quality Assessment,
IP(33), 2024, pp. 6057-6070.
IEEE DOI 2411
Semantics, Semisupervised learning, Quality assessment, Contrastive learning, Annotations, Training, Motion segmentation BibRef

Xu, J.L.[Jing-Lin], Yin, S.[Sibo], Peng, Y.X.[Yu-Xin],
Human-Centric Fine-Grained Action Quality Assessment,
PAMI(47), No. 8, August 2025, pp. 6242-6255.
IEEE DOI 2507
Semantics, Sports, Quality assessment, Annotations, Accuracy, Visualization, Transformers, Training, Encoding, fine-grained understanding BibRef

Xu, J.L.[Jing-Lin], Yin, S.[Sibo], Zhao, G.H.[Guo-Hao], Wang, Z.[Zishuo], Peng, Y.X.[Yu-Xin],
FineParser: A Fine-Grained Spatio-Temporal Action Parser for Human-Centric Action Quality Assessment,
CVPR24(14628-14637)
IEEE DOI Code:
WWW Link. 2410
Codes, Annotations, Focusing, Quality assessment, Action Quality Assessment, Human-centric Foreground Action Masks BibRef

Xu, J.L.[Jing-Lin], Rao, Y.M.[Yong-Ming], Yu, X.[Xumin], Chen, G.Y.[Guang-Yi], Zhou, J.[Jie], Lu, J.W.[Ji-Wen],
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment,
CVPR22(2939-2948)
IEEE DOI 2210
Codes, Annotations, Semantics, Quality assessment, Reliability, Action and event recognition BibRef

Liu, J.[Jiang], Wang, H.[Huasheng], Zhou, W.[Wei], Stawarz, K.[Katarzyna], Corcoran, P.[Padraig], Chen, Y.[Ying], Liu, H.T.[Han-Tao],
Adaptive Spatiotemporal Graph Transformer Network for Action Quality Assessment,
CirSysVideo(35), No. 7, July 2025, pp. 6628-6639.
IEEE DOI Code:
WWW Link. 2507
Transformers, Spatiotemporal phenomena, Feature extraction, Quality assessment, Adaptive systems, Semantics, neural network BibRef


Rai, A.[Arushi], Kovashka, A.[Adriana],
Rubric-Constrained Figure Skating Scoring,
WACV25(9105-9113)
IEEE DOI Code:
WWW Link. 2505
Codes, Annotations, Aggregates, Natural languages, Transformers, Quality assessment, automatic figure skating scoring, interpretability BibRef

Yun, W.[Wulian], Qi, M.[Mengshi], Peng, F.[Fei], Ma, H.D.[Hua-Dong],
Semi-Supervised Teacher-reference-student Architecture for Action Quality Assessment,
ECCV24(LXXIV: 161-178).
Springer DOI 2412
BibRef

Zhou, K.[Kanglei], Wang, L.Y.[Li-Yuan], Zhang, X.X.[Xing-Xing], Shum, H.P.H.[Hubert P. H.], Li, F.W.B.[Frederick W. B.], Li, J.G.[Jian-Guo], Liang, X.H.[Xiao-Hui],
MAGR: Manifold-aligned Graph Regularization for Continual Action Quality Assessment,
ECCV24(XI: 375-392).
Springer DOI 2412
BibRef

Dadashzadeh, A.[Amirhossein], Duan, S.[Shuchao], Whone, A.[Alan], Mirmehdi, M.[Majid],
PECoP: Parameter Efficient Continual Pretraining for Action Quality Assessment,
WACV24(42-52)
IEEE DOI Code:
WWW Link. 2404
Training, Costs, Self-supervised learning, Benchmark testing, Data models, Quality assessment, Algorithms, Video recognition and understanding BibRef

Okamoto, L.[Lauren], Parmar, P.[Paritosh],
Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality Assessment,
CVSports24(3204-3213)
IEEE DOI Code:
WWW Link. 2410
Visualization, Codes, Computational modeling, Neural networks, Symbols, neurosymbolic video understanding, representation learning BibRef

Zhang, S.Y.[Shi-Yi], Dai, W.X.[Wen-Xun], Wang, S.[Sujia], Shen, X.W.[Xiang-Wei], Lu, J.W.[Ji-Wen], Zhou, J.[Jie], Tang, Y.S.[Yan-Song],
LOGO: A Long-Form Video Dataset for Group Action Quality Assessment,
CVPR23(2405-2414)
IEEE DOI 2309
BibRef

Yu, X.[Xumin], Rao, Y.M.[Yong-Ming], Zhao, W.L.[Wen-Liang], Lu, J.W.[Ji-Wen], Zhou, J.[Jie],
Group-aware Contrastive Regression for Action Quality Assessment,
ICCV21(7899-7908)
IEEE DOI 2203
Training, Benchmark testing, Quality assessment, Task analysis, Regression tree analysis, Videos, BibRef

Li, Y.J.[Yong-Jun], Chai, X.J.[Xiu-Juan], Chen, X.L.[Xi-Lin],
ScoringNet: Learning Key Fragment for Action Quality Assessment with Ranking Loss in Skilled Sports,
ACCV18(VI:149-164).
Springer DOI 1906
BibRef

Xiang, X.[Xiang], Tian, Y.[Ye], Reiter, A.[Austin], Hager, G.D.[Gregory D.], Tran, T.D.[Trac D.],
S3D: Stacking Segmental P3D for Action Quality Assessment,
ICIP18(928-932)
IEEE DOI 1809
Sports, surgery, skill evaluation. Convolution, Training, Feature extraction, temporal convolution BibRef

Tang, Y., Ni, Z., Zhou, J., Zhang, D., Lu, J., Wu, Y., Zhou, J.,
Uncertainty-Aware Score Distribution Learning for Action Quality Assessment,
CVPR20(9836-9845)
IEEE DOI 2008
Videos, Uncertainty, Games, Gaussian distribution, Task analysis, Quality assessment, Training BibRef

Parmar, P., Morris, B.,
Action Quality Assessment Across Multiple Actions,
WACV19(1468-1476)
IEEE DOI 1904
learning (artificial intelligence), multiple actions, action help, action quality assessment setting, Training BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Human Activity Recognition, Human Behaviors .


Last update:Sep 10, 2025 at 12:00:25