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SotA/Methodology/Zero-Shot Learning/NTU RGB+D

Zero-Shot Learning on NTU RGB+D

Metric: Accuracy (12 unseen classes) (higher is better)

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#Model↕Accuracy (12 unseen classes)▼AugmentationsPaperDate↕Code
1TDSM56.03NoTDSM: Triplet Diffusion for Skeleton-Text Matchi...2024-11-16Code
2PGFA55.99NoZero-shot Skeleton-based Action Recognition with...2025-07-01Code
3STAR45.1NoFine-Grained Side Information Guided Dual-Prompt...2024-04-11-
4SA-DVAE41.38NoSA-DVAE: Improving Zero-Shot Skeleton-Based Acti...2024-07-18Code
5PURLS40.99NoPart-aware Unified Representation of Language an...2024-06-19Code
6SMIE40.18NoZero-shot Skeleton-based Action Recognition via ...2023-08-07Code
7SynSE33.3NoSyntactically Guided Generative Embeddings for Z...2021-01-27Code
8CADA-VAE28.96NoGeneralized Zero- and Few-Shot Learning via Alig...2018-12-05Code