Motion-Causal Token Selection for Cross-Dataset Action Recognition
A novel framework termed Motion-Causal Token Selection for cross-dataset action recognition that significantly outperforms existing state-of-the-art domain generalization approaches and enhances cross-dataset transferability but also reduces the computational footprint of vision transformers during inference.