Skeleton Based Action Segmentation

Benchmarks archive 2025-07-28

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Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (10 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.

• Text-Derived Relational Graph-Enhanced Network for Skeleton-Based Action Segmentation
  19 Mar 2025 1 repository listed
  Additionally, we propose a Spatial-Aware Enhancement Processing (SAEP) method, which incorporates random joint occlusion and axial rotation to enhance spatial generalization.
• Language-Assisted Skeleton Action Understanding for Skeleton-Based Temporal Action Segmentation
  31 Oct 2024 1 repository listed
  Regarding action relationships, the Action Relationships Supervision (ARS) module enhances the discrimination across action classes through contrastive learning of single-class action-text pairs and models the semantic…
• Language-Assisted Human Part Motion Learning for Skeleton-Based Temporal Action Segmentation
  8 Oct 2024 1 repository listed
  To address these limitations, we propose a novel method named Language-assisted Human Part Motion Representation Learning (LPL), which contains a Disentangled Part Motion Encoder (DPE) to extract dual-level (i.
• Snippet-Aware Transformer With Multiple Action Elements for Skeleton-Based Action Segmentation
  6 May 2024 1 repository listed
  To address these limitations, the snippet-aware Transformer with multiple action element (ME-ST) is proposed to enhance the discrimination and segmentation among actions, which leverages intrasnippet attention along…
• A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation
  10 Dec 2023 1 repository listed
  Effectively modeling discriminative spatio-temporal information is essential for segmenting activities in long action sequences.
• Skeleton-Based Action Segmentation with Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks
  3 Feb 2022 1 repository listed
  State-of-the-art action segmentation approaches use multiple stages of temporal convolutions.