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HyLiFormer: Hyperbolic Linear Attention for Skeleton-based Human Action Recognition
Transformers have demonstrated remarkable performance in skeleton-based human action
recognition, yet their quadratic computational complexity remains a bottleneck for real-world …
recognition, yet their quadratic computational complexity remains a bottleneck for real-world …
SkelMamba: A State Space Model for Efficient Skeleton Action Recognition of Neurological Disorders
We introduce a novel state-space model (SSM)-based framework for skeleton-based human
action recognition, with an anatomically-guided architecture that improves state-of-the-art …
action recognition, with an anatomically-guided architecture that improves state-of-the-art …
FreqMixFormerV2: Lightweight Frequency-aware Mixed Transformer for Human Skeleton Action Recognition
Transformer-based human skeleton action recognition has been developed for years.
However, the complexity and high parameter count demands of these models hinder their …
However, the complexity and high parameter count demands of these models hinder their …