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SotA/Methodology/Zero-Shot Learning/NTU RGB+D 120

Zero-Shot Learning on NTU RGB+D 120

Metric: Accuracy (10 unseen classes) (higher is better)

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#Model↕Accuracy (10 unseen classes)▼AugmentationsPaperDate↕Code
1PGFA79.99NoZero-shot Skeleton-based Action Recognition with...2025-07-01Code
2TDSM74.15NoTDSM: Triplet Diffusion for Skeleton-Text Matchi...2024-11-16Code
3PURLS71.95NoPart-aware Unified Representation of Language an...2024-06-19Code
4SA-DVAE68.77NoSA-DVAE: Improving Zero-Shot Skeleton-Based Acti...2024-07-18Code
5SMIE65.74NoZero-shot Skeleton-based Action Recognition via ...2023-08-07Code
6STAR63.3NoFine-Grained Side Information Guided Dual-Prompt...2024-04-11-
7SynSE62.69NoSyntactically Guided Generative Embeddings for Z...2021-01-27Code
8CADA-VAE59.53NoGeneralized Zero- and Few-Shot Learning via Alig...2018-12-05Code