Browse State-of-the-Art › Action Parsing
Action Parsing
3 papers with code · 1 benchmark · 4 datasets archive 2025-07-28
Action parsing is the task of, given a video or still image, assigning each frame or image a label describing the action in that frame or image.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 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 |
|---|---|---|---|---|---|
| JerichoWorld (3 rows) | Worldformer | Learning Knowledge Graph-based World Models of Textual Environments | — | — | 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
4 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
3 shown of 3 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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21 May 2021 1 repository listedWe provide a dataset that enables the creation of learning agents that can build knowledge graph-based world models of interactive narratives.
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3 Jun 2019 1 repository listedIn this paper, we propose an approach to representing high-order information for temporal action segmentation via a simple yet effective bilinear form.
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5 Dec 2018 1 repository listedFine-grained temporal action parsing is important in many applications, such as daily activity understanding, human motion analysis, surgical robotics and others requiring subtle and precise operations in a long-term…
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