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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.

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Cite this as

Edward Fish, Jon Weinbren, Andrew Gilbert (2024). Dataset: PLOT-TAL - Prompt Learning with Optimal Transport for Few-Shot Temporal Action Localization. https://doi.org/10.57702/jr127evv

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2403.18915
Author	Edward Fish
More Authors	Jon Weinbren Andrew Gilbert