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Action Assessment
6 papers with code · 3 benchmarks · 2 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
3 leaderboard tables shown for this task, 3 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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| EHE (2 rows) | EGCN | EGCN: An Ensemble-based Learning Framework for Exploring Effective... | code | — | Compare |
| KIMORE (1 row) | EGCN | EGCN: An Ensemble-based Learning Framework for Exploring Effective... | code | — | Compare |
| UI-PRMD (1 row) | EGCN | EGCN: An Ensemble-based Learning Framework for Exploring Effective... | code | — | Compare |
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
2 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
6 shown of 6 papers with code (15 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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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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13 Aug 2020 2 repositories listedHowever, most existing works focus only on video dynamic information (i.
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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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1 Jul 2022 1 repository listedWe also examine the properness of existing evaluation criteria and focus on evaluating the prediction ability of our proposed method.
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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.
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23 Apr 2021 1 repository listedIn this paper, we propose SportsCap -- the first approach for simultaneously capturing 3D human motions and understanding fine-grained actions from monocular challenging sports video input.
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