Browse State-of-the-Art › Action Quality Assessment
Action Quality Assessment
37 papers with code · 8 benchmarks · 9 datasets archive 2025-07-28
Assessing/analyzing/quantifying how well an action was performed.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
8 leaderboard tables shown for this task, 8 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
9 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 37 papers with code (52 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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8 Apr 2019 5 repositories listedCan performance on the task of action quality assessment (AQA) be improved by exploiting a description of the action and its quality?
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11 Jan 2022 4 repositories listedSpecifically, 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…
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20 Mar 2024 3 repositories listedWe found that domain experts prefer our system and find it more informative than purely neural approaches to AQA in diving.
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22 Nov 2021 3 repositories listedTraditionally, AQA is treated as a regression problem to learn the underlying mappings between videos and action scores.
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7 Apr 2024 2 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)Action quality assessment (AQA) has become an emerging topic since it can be extensively applied in numerous scenarios.
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13 Aug 2020 2 repositories listedHowever, most existing works focus only on video dynamic information (i.
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10 Dec 2019 2 repositories listedThe hallucination task is treated as an auxiliary task, which can be used with any other action related task in a multitask learning setting.
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16 Nov 2016 2 repositories listedEstimating action quality, the process of assigning a "score" to the execution of an action, is crucial in areas such as sports and health care.
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26 May 2025 1 repository listed Syntology ran 0 of 6 samples · 6 unverifiedLong-term Action Quality Assessment (AQA) aims to evaluate the quantitative performance of actions in long videos.
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31 Mar 2025 1 repository listedAction quality assessment (AQA) is critical for evaluating athletic performance, informing training strategies, and ensuring safety in competitive sports.
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7 Jan 2025 1 repository listedFirstly, we introduce a multi-scale dynamic visual-skeleton encoder to capture fine-grained spatio-temporal visual and skeletal features.
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21 Aug 2024 1 repository listedLong-term Action Quality Assessment (AQA) evaluates the execution of activities in videos.
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4 Aug 2024 1 repository listedCentral to our method lies in stochastic embeddings of action steps, defined on a graph structure that encodes the score rubric.
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8 Jul 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverifiedThe performance of Large Vision Language Models (LVLMs) is dependent on the size and quality of their training datasets.
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10 Jun 2024 1 repository listedAssessing action quality is both imperative and challenging due to its significant impact on the quality of AI-generated videos, further complicated by the inherently ambiguous nature of actions within AI-generated…
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FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment11 May 2024 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)We argue that a fine-grained understanding of actions requires the model to perceive and parse actions in both time and space, which is also the key to the credibility and interpretability of the AQA technique.
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22 Apr 2024 1 repository listed Syntology ran 7 of 9 samples · 2 unverified · 9 pointer-only (licence)However, this common strategy yields suboptimal results due to the inherent struggle of these backbones to capture the subtle cues essential for AQA.
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22 Apr 2024 1 repository listedNAE is a more challenging task because it requires both narrative flexibility and evaluation rigor.
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24 Mar 2024 1 repository listed Syntology ran 7 of 8 samples · 1 unverifiedAlong with the videos we record high-quality gaze data and provide detailed multimodal annotations, formulating a playground for modeling the human ability to bridge asynchronous procedural actions from different…
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7 Mar 2024 1 repository listed Syntology ran 2 of 5 samples · 3 unverified · 5 pointer-only (licence)We propose Continual AQA (CAQA) to refine models using sparse new data.
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31 Jan 2024 1 repository listedTo leverage multimodal information for AQA, i.
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5 Jan 2024 1 repository listedIn recent years, there has been growing interest in the video-based action quality assessment (AQA).
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1 Dec 2023 1 repository listedBeyond FER, pain estimation methods assess levels of intensity in pain expressions, however assessing the quality of all facial expressions is of critical value in health-related applications.
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11 Nov 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)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.
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29 Sep 2023 1 repository listedOur 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…
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6 Jul 2023 1 repository listedMMFS, 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.
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14 Jun 2023 1 repository listedThis 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.
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19 Jul 2022 1 repository listedAction Quality Assessment(AQA) is important for action understanding and resolving the task poses unique challenges due to subtle visual differences.
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7 Apr 2022 1 repository listed Syntology ran 3 of 7 samples · 4 unverifiedMost 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.
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28 Feb 2022 1 repository listedTo 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.
Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections