LiquidTAD: An Efficient Method for Temporal Action Detection via Liquid Neural Dynamics
arXiv:2604.18274v1 Announce Type: new
Abstract: Temporal Action Detection (TAD) in untrimmed videos is currently dominated by Transformer-based architectures. While high-performing, their quadratic computational complexity and substantial parameter re…