FDSM recovers fine-grained motion details in zero-shot skeleton action recognition by integrating semantic-guided spectral residual, timestep-adaptive spectral loss, and curriculum-based semantic abstraction, reaching state-of-the-art on NTU RGB+D, PKU-MMD, and Kinetics-skeleton.
In: Proceedings of the 31st ACM International Conference on Multimedia, pp
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Frequency-Enhanced Diffusion Models: Curriculum-Guided Semantic Alignment for Zero-Shot Skeleton Action Recognition
FDSM recovers fine-grained motion details in zero-shot skeleton action recognition by integrating semantic-guided spectral residual, timestep-adaptive spectral loss, and curriculum-based semantic abstraction, reaching state-of-the-art on NTU RGB+D, PKU-MMD, and Kinetics-skeleton.