PLOT-TAL - Prompt Learning with Optimal Transport for Few-Shot Temporal Action Localization

Temporal Action Localization (TAL) in few-shot learning. Our work addresses the inherent limitations of conventional single-prompt learning methods that often lead to overfitting due to the inability to generalize across varying contexts in real-world videos.