Action Recognition
Skeletal Data
Mamba Model
Simba: Mamba augmented U-ShiftGCN for Skeletal Action Recognition in Videos

Simba: The Next-Gen AI for Skeletal Action Recognition

Simba’s unique U-ShiftGCN architecture integrates the promising Mamba model for unprecedented accuracy in Skeletal Action Recognition.

Discover Simba’s capabilities on arXiv:

  • Leverages a new U-ShiftGCN model architecture with Mamba state space model for efficient recognition.
  • Showcases the advantage of simultaneous spatial and temporal feature extraction in action recognition.
  • Delivers state-of-the-art results on renowned benchmark datasets like NTU RGB+D.

Simba underscores the AI field’s rapid progression toward sophisticated, multi-dimensional perception, essential for advancements in interactive gaming, nuanced health monitoring, and refined motion-capture technology.

Personalized AI news from scientific papers.