Action Quality Assessment
25 papers with code • 6 benchmarks • 7 datasets
Assessing/analyzing/quantifying how well an action was performed.
Benchmarks
These leaderboards are used to track progress in Action Quality Assessment
JIGSAWS
MTL-AQA
AQA-7
UI-PRMD
Fitness-AQA
Rhythmic Gymnastic
Multimodal PISA
Most implemented papers
Improving Action Quality Assessment using Weighted Aggregation
Farabi-shafkat/Improving-Action-Quality-Assessment-using-ResNets-and-Weighted-Aggregation
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We assess the effects of the depth and input clip size of the convolutional neural network on the quality of action score predictions.
Group-aware Contrastive Regression for Action Quality Assessment
Assessing action quality is challenging due to the subtle differences between videos and large variations in scores.
TSA-Net: Tube Self-Attention Network for Action Quality Assessment
Specifically, we introduce a single object tracker into AQA and propose the Tube Self-Attention Module (TSA), which can efficiently generate rich spatio-temporal contextual information by adopting sparse feature interactions.
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment
To that end, we propose to learn exercise-oriented image and video representations from unlabeled samples such that a small dataset annotated by experts suffices for supervised error detection.
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment
xujinglin/finediving
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CVPR 2022
Most existing action quality assessment methods rely on the deep features of an entire video to predict the score, which is less reliable due to the non-transparent inference process and poor interpretability.
Action Quality Assessment with Temporal Parsing Transformer
baiyang4/aqa_tpt
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Action Quality Assessment(AQA) is important for action understanding and resolving the task poses unique challenges due to subtle visual differences.
MMASD: A Multimodal Dataset for Autism Intervention Analysis
This work presents a novel privacy-preserving open-source dataset, MMASD as a MultiModal ASD benchmark dataset, collected from play therapy interventions of children with Autism.
Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating
MMFS, which possesses action recognition and action quality assessment, captures RGB, skeleton, and is collected the score of actions from 11671 clips with 256 categories including spatial and temporal labels.
Continual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution Modeling
iSEE-Laboratory/Continual-AQA
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Our idea for modeling Continual-AQA is to sequentially learn a task-consistent score-discriminative feature distribution, in which the latent features express a strong correlation with the score labels regardless of the task or action types. From this perspective, we aim to mitigate the forgetting in Continual-AQA from two aspects.
PECoP: Parameter Efficient Continual Pretraining for Action Quality Assessment
plrbear/pecop
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The limited availability of labelled data in Action Quality Assessment (AQA), has forced previous works to fine-tune their models pretrained on large-scale domain-general datasets.
