Few-Shot Skeleton-Based Action Recognition

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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.

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.

• STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences
  15 Jul 2024 1 repository listed
  Self-supervised pretraining methods with masked prediction demonstrate remarkable within-dataset performance in skeleton-based action recognition.
• Masked Motion Predictors are Strong 3D Action Representation Learners
  14 Aug 2023 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  To be specific, the proposed MAMP takes as input the masked spatio-temporal skeleton sequence and predicts the corresponding temporal motion of the masked human joints.
• Hierarchical Contrast for Unsupervised Skeleton-based Action Representation Learning
  5 Dec 2022 1 repository listed
  This paper targets unsupervised skeleton-based action representation learning and proposes a new Hierarchical Contrast (HiCo) framework.
• Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations
  24 Nov 2022 1 repository listed
  In this paper, we investigate the potential of adopting strong augmentations and propose a general hierarchical consistent contrastive learning framework (HiCLR) for skeleton-based action recognition.
• CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation
  26 Aug 2022 1 repository listed
  In this work, we formulate the cross-modal interaction as a bidirectional knowledge distillation problem.
• Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition
  7 Dec 2021 1 repository listed
  In this paper, to make better use of the movement patterns introduced by extreme augmentations, a Contrastive Learning framework utilizing Abundant Information Mining for self-supervised action Representation (AimCLR)…
• Skeleton-Contrastive 3D Action Representation Learning
  8 Aug 2021 1 repository listed Syntology ran 4 of 7 samples · 3 unverified · 7 pointer-only (licence)
  In particular, we propose inter-skeleton contrastive learning, which learns from multiple different input skeleton representations in a cross-contrastive manner.

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.