Zero Shot Skeletal Action Recognition

Description from the archive 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.

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

3 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (8 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.

• Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
  5 Dec 2018 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  Many approaches in generalized zero-shot learning rely on cross-modal mapping between the image feature space and the class embedding space.
• 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…
• TDSM: Triplet Diffusion for Skeleton-Text Matching in Zero-Shot Action Recognition
  16 Nov 2024 1 repository listed
  In zero-shot skeleton-based action recognition, aligning skeleton features with the text features of action labels is essential for accurately predicting unseen actions.
• SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders
  18 Jul 2024 1 repository listed
  Existing zero-shot skeleton-based action recognition methods utilize projection networks to learn a shared latent space of skeleton features and semantic embeddings.
• Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition
  19 Jun 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  While remarkable progress has been made on supervised skeleton-based action recognition, the challenge of zero-shot recognition remains relatively unexplored.
• Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization
  7 Aug 2023 1 repository listed
  Specifically, 1) we maximize the MI between visual and semantic space for distribution alignment; 2) we leverage the temporal information for estimating the MI by encouraging MI to increase as more frames are observed.
• Syntactically Guided Generative Embeddings for Zero-Shot Skeleton Action Recognition
  27 Jan 2021 1 repository listed
  We deploy SynSE for the task of skeleton-based action sequence recognition.

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.