Sicong Zhan

Hybrid Spatial-Frequency Attention Network For Fine-Grained Skeleton-Based Action Recognition

Recently, Transformer-based methods have gained popularity in skeleton-based action recognition due to their advantages in modeling long-range dependencies. However, Transformer lacks the inductive biases towards skeletal topology and tends to capture salient features, potentially overlooking subtle…