One-Shot 3D Action Recognition

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.

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

1 dataset 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (9 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.

• NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
  12 May 2019 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition.
• Zero-shot Skeleton-based Action Recognition with Prototype-guided Feature Alignment
  1 Jul 2025 1 repository listed
  However, their efficacy is hindered by 1) insufficient discrimination for skeleton features, as the fixed skeleton encoder fails to capture necessary alignment information for effective skeleton-text alignment; 2) the…
• SkeletonX: Data-Efficient Skeleton-based Action Recognition via Cross-sample Feature Aggregation
  16 Apr 2025 1 repository listed
  First, we propose a tailored sample pair construction strategy on two key attributes to form and aggregate sample pairs.
• MotionBERT: A Unified Perspective on Learning Human Motion Representations
  12 Oct 2022 1 repository listed Syntology ran 5 of 11 samples · 6 unverified
  We present a unified perspective on tackling various human-centric video tasks by learning human motion representations from large-scale and heterogeneous data resources.
• One-shot action recognition in challenging therapy scenarios
  17 Feb 2021 1 repository listed
  We also develop a set of complementary steps that boost the action recognition performance in the most challenging scenarios.
• Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition
  26 Dec 2020 1 repository listed
  One-shot action recognition allows the recognition of human-performed actions with only a single training example.
• SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition
  23 Apr 2020 1 repository listed
  Further, we show that our approach generalizes well in experiments on the UTD-MHAD dataset for inertial, skeleton and fused data and the Simitate dataset for motion capturing data.

Syntology lines on 2 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.