Browse State-of-the-Art › Zero-shot skeleton-based action recognition
Zero-shot skeleton-based action recognition
4 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
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Most implemented papers archive 2025-07-28
4 shown of 4 papers with code (7 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.
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1 Jul 2025 1 repository listedHowever, 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…
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18 Jul 2024 1 repository listedExisting zero-shot skeleton-based action recognition methods utilize projection networks to learn a shared latent space of skeleton features and semantic embeddings.
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18 Sep 2023 1 repository listedIn order to solve this dilemma, we propose a multi-semantic fusion (MSF) model for improving the performance of GZSSAR, where two kinds of class-level textual descriptions (i.
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7 Aug 2023 1 repository listedSpecifically, 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.
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