TDSM: Triplet Diffusion for Skeleton-Text Matching in Zero-Shot Action Recognition

Jeonghyeok Do¹     Munchurl Kim^†1

^†Corresponding author

¹Korea Advanced Institute of Science and Technology, South Korea

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This repository is the official PyTorch implementation of "TDSM: Triplet Diffusion for Skeleton-Text Matching in Zero-Shot Action Recognition". TDSM outperforms the very recent state-of-the-art zero-shot skeleton-based action recognition methods with large margins, demonstrating superior accuracy and scalability in zero-shot settings through effective skeleton-text matching.

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📧 News

• ⚠ The code and pre-trained models will be released later
• Nov 16, 2024: This repository is created

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Results

Please visit our project page for more experimental results.

License

The source codes including the checkpoint can be freely used for research and education only. Any commercial use should get formal permission from the principal investigator (Prof. Munchurl Kim, [email protected]).

Acknowledgement

This repository is built upon FMA-Net.